Upload local best validation GOPT bundle with Whisper and Charsiu models
Browse files- README.md +285 -0
- bundle_manifest.json +70 -0
- charsiu_en_w2v2_tiny_fc_10ms/config.json +75 -0
- charsiu_en_w2v2_tiny_fc_10ms/preprocessor_config.json +1 -0
- charsiu_en_w2v2_tiny_fc_10ms/pytorch_model.bin +3 -0
- examples/eval_streaming_gopt_test.py +119 -0
- streaming_gopt_best/best_audio_model.pth +3 -0
- streaming_gopt_best/config.json +41 -0
- streaming_gopt_best/result.csv +101 -0
- streaming_gopt_best/test_metrics.json +29 -0
- whisper_best_model/added_tokens.json +1609 -0
- whisper_best_model/config.json +62 -0
- whisper_best_model/eval_preview.json +82 -0
- whisper_best_model/generation_config.json +260 -0
- whisper_best_model/merges.txt +0 -0
- whisper_best_model/model.safetensors +3 -0
- whisper_best_model/normalizer.json +1742 -0
- whisper_best_model/preprocessor_config.json +15 -0
- whisper_best_model/special_tokens_map.json +139 -0
- whisper_best_model/tokenizer_config.json +0 -0
- whisper_best_model/vocab.json +0 -0
README.md
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| 1 |
+
---
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| 2 |
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tags:
|
| 3 |
+
- speech
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| 4 |
+
- whisper
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| 5 |
+
- forced-alignment
|
| 6 |
+
- pronunciation-assessment
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| 7 |
+
- gopt
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| 8 |
+
license: other
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| 9 |
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---
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| 10 |
+
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| 11 |
+
# custom-gopt-252-eval
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| 12 |
+
|
| 13 |
+
这是一个面向 `hf49w/custom-gopt` / `gopt_charsiu` 流式评测流程的本地模型打包仓库,包含当前这套评测链路所需的 3 个核心模型:
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| 14 |
+
|
| 15 |
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1. `streaming_gopt_best/`
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2. `whisper_best_model/`
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| 17 |
+
3. `charsiu_en_w2v2_tiny_fc_10ms/`
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| 18 |
+
|
| 19 |
+
这个仓库的目标不是发布训练代码,而是把“从服务器下载回本地的最佳模型 + 评测必须依赖的 Whisper / Charsiu 模型”集中到一个 Hugging Face 地址,便于复现和迁移。
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| 20 |
+
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| 21 |
+
## 目录结构
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| 22 |
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| 23 |
+
```text
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custom-gopt-252-eval/
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├─ README.md
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| 26 |
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├─ bundle_manifest.json
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| 27 |
+
├─ examples/
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| 28 |
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│ └─ eval_streaming_gopt_test.py
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| 29 |
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├─ streaming_gopt_best/
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| 30 |
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│ ├─ best_audio_model.pth
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| 31 |
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│ ├─ config.json
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| 32 |
+
│ ├─ result.csv
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| 33 |
+
│ └─ test_metrics.json
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| 34 |
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├─ whisper_best_model/
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| 35 |
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│ ├─ config.json
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| 36 |
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│ ├─ generation_config.json
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| 37 |
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│ ├─ model.safetensors
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| 38 |
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│ ├─ preprocessor_config.json
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| 39 |
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│ ├─ tokenizer_config.json
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| 40 |
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│ └─ ...
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| 41 |
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└─ charsiu_en_w2v2_tiny_fc_10ms/
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| 42 |
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├─ config.json
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| 43 |
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├─ preprocessor_config.json
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| 44 |
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└─ pytorch_model.bin
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| 45 |
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```
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| 46 |
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| 47 |
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## 包含内容
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| 48 |
+
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| 49 |
+
### 1. `streaming_gopt_best`
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| 50 |
+
|
| 51 |
+
- 用途:最终发音评分模型。
|
| 52 |
+
- 来源:本地从服务器下载回来的最佳检查点目录中的 `best_audio_model.pth`。
|
| 53 |
+
- 结构:PyTorch `state_dict` + 训练配置 + 验证/测试指标。
|
| 54 |
+
- 关键配置:
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| 55 |
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- `input_dim = 46`
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| 56 |
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- `phn_num = 40`
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| 57 |
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- `seq_len = 499`
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| 58 |
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- `depth = 3`
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| 59 |
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- `heads = 1`
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| 60 |
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- `embed_dim = 24`
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| 61 |
+
- `model = streaming_gopt`
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| 62 |
+
|
| 63 |
+
### 2. `whisper_best_model`
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| 64 |
+
|
| 65 |
+
- 用途:为流式 GOPT 特征构建阶段提供 ASR 文本和词级时间戳。
|
| 66 |
+
- 说明:这是已经导出的本地最佳 Whisper 目录,可直接作为 `transformers.pipeline(...)` 的 `model/tokenizer/feature_extractor` 路径使用。
|
| 67 |
+
|
| 68 |
+
### 3. `charsiu_en_w2v2_tiny_fc_10ms`
|
| 69 |
+
|
| 70 |
+
- 用途:提供逐帧 phone logits,对齐参考文本并生成 GOPT 所需的帧级特征。
|
| 71 |
+
- 说明:这是评测链路实际使用的 Charsiu 对齐模型目录。
|
| 72 |
+
|
| 73 |
+
## 当前这版模型的已知指标
|
| 74 |
+
|
| 75 |
+
`streaming_gopt_best/result.csv` 显示该权重是按验证集 `phone_val_mse` 选出的最佳模型:
|
| 76 |
+
|
| 77 |
+
- 最佳 epoch:`15`
|
| 78 |
+
- 最佳 `phone_val_mse`:`0.04897475987672806`
|
| 79 |
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- 对应 `phone_val_pcc`:`0.24482591936290432`
|
| 80 |
+
- 对应 `utt_val_pcc_total`:`0.6696266195414817`
|
| 81 |
+
- 对应 `word_val_pcc_total`:`0.24699408632096473`
|
| 82 |
+
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| 83 |
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`streaming_gopt_best/test_metrics.json` 中保存的测试集结果:
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| 84 |
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| 85 |
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- `phone_test_mse = 0.04749840870499611`
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| 86 |
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- `phone_test_pcc = 0.3332444625995981`
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| 87 |
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- `utt_test_pcc = [0.6185, -0.0056, 0.7234, 0.7387, 0.6823]`
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| 88 |
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- `word_test_pcc = [0.3099, 0.0224, 0.3218]`
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| 89 |
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## 下载方式
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| 91 |
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以下命令以 Linux / WSL 为例。
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| 93 |
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| 94 |
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### 方法一:用 `huggingface_hub`
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| 95 |
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| 96 |
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```bash
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| 97 |
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python - <<'PY'
|
| 98 |
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from huggingface_hub import snapshot_download
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| 99 |
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| 100 |
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snapshot_download(
|
| 101 |
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repo_id="faeea/custom-gopt-252-eval",
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| 102 |
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repo_type="model",
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| 103 |
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local_dir="./hf_models/custom-gopt-252-eval",
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| 104 |
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)
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| 105 |
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PY
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| 106 |
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```
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| 107 |
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| 108 |
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### 方法二:用 Git LFS
|
| 109 |
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|
| 110 |
+
```bash
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| 111 |
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git lfs install
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| 112 |
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git clone https://huggingface.co/faeea/custom-gopt-252-eval ./hf_models/custom-gopt-252-eval
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| 113 |
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```
|
| 114 |
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|
| 115 |
+
下载后约定:
|
| 116 |
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|
| 117 |
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```bash
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| 118 |
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export BUNDLE_DIR=$PWD/hf_models/custom-gopt-252-eval
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| 119 |
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```
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| 120 |
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| 121 |
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## 代码仓库与环境准备
|
| 122 |
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|
| 123 |
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这套模型不是标准 Transformers 单模型包,完整评测仍依赖 `custom-gopt` 代码仓库:
|
| 124 |
+
|
| 125 |
+
```bash
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| 126 |
+
git clone https://github.com/hf49w/custom-gopt.git
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| 127 |
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cd custom-gopt
|
| 128 |
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pip install -r requirements.txt
|
| 129 |
+
```
|
| 130 |
+
|
| 131 |
+
`Charsiu` 这里除了模型目录,还需要它的源码目录。建议固定到本地测试时使用的提交:
|
| 132 |
+
|
| 133 |
+
```bash
|
| 134 |
+
git clone https://github.com/lingjzhu/charsiu third_party/charsiu_repo
|
| 135 |
+
git -C third_party/charsiu_repo checkout 13a69f2a22ca0c0962b75cc693399b0ae23a12c9
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| 136 |
+
export CHARSIU_SRC_DIR=$PWD/third_party/charsiu_repo
|
| 137 |
+
```
|
| 138 |
+
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| 139 |
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说明:
|
| 140 |
+
|
| 141 |
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- `--charsiu-src-dir` 可以传 `charsiu_repo` 根目录,也可以传它的 `src/` 目录。
|
| 142 |
+
- 这个模型包不包含 SpeechOcean762 数据集。
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| 143 |
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- 如果你只是加载 Whisper/Charsiu/GOPT 权重,不一定需要完整数据集;如果要复现实验评测,就需要数据集。
|
| 144 |
+
|
| 145 |
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## 用这套 bundle 重建流式评测数据
|
| 146 |
+
|
| 147 |
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如果你的目标是从 SpeechOcean762 音频重新生成 `streaming_asr_gopt` 特征,请在 `custom-gopt` 仓库根目录运行:
|
| 148 |
+
|
| 149 |
+
```bash
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| 150 |
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python src/prep_data/build_streaming_asr_gopt_data.py \
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| 151 |
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--dataset-root /path/to/speechocean762 \
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| 152 |
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--scores-json src/prep_data/scores.json \
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| 153 |
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--output-dir ./data/streaming_asr_gopt_v4 \
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| 154 |
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--aligner-model $BUNDLE_DIR/charsiu_en_w2v2_tiny_fc_10ms \
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| 155 |
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--charsiu-src-dir $CHARSIU_SRC_DIR \
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| 156 |
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--asr-model $BUNDLE_DIR/whisper_best_model \
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| 157 |
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--timestamp-backend transformers \
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| 158 |
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--device cuda \
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| 159 |
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--asr-batch-size 4 \
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| 160 |
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--asr-min-batch-size 1 \
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| 161 |
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--asr-max-new-tokens 128
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| 162 |
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```
|
| 163 |
+
|
| 164 |
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建议:
|
| 165 |
+
|
| 166 |
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- 显存紧张时保留 `--asr-batch-size 4 --asr-min-batch-size 1`。
|
| 167 |
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- 如���中途中断,可增加 `--resume` 继续。
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| 168 |
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- 如果只想聚合已有分片结果,可用 `--finalize-only`。
|
| 169 |
+
|
| 170 |
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输出目录里至少会包含:
|
| 171 |
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|
| 172 |
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- `train_chunks.npz`
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| 173 |
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- `val_chunks.npz`
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| 174 |
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- `test_chunks.npz`
|
| 175 |
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- `train_manifest.jsonl`
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| 176 |
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- `val_manifest.jsonl`
|
| 177 |
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- `test_manifest.jsonl`
|
| 178 |
+
- `metadata.json`
|
| 179 |
+
|
| 180 |
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## 用 bundle 里的最佳 GOPT 模型做测试集评测
|
| 181 |
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|
| 182 |
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这个仓库附带了一个最小评测脚本:
|
| 183 |
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|
| 184 |
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```bash
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| 185 |
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python $BUNDLE_DIR/examples/eval_streaming_gopt_test.py \
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| 186 |
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--data-dir ./data/streaming_asr_gopt_v4 \
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| 187 |
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--model-dir $BUNDLE_DIR/streaming_gopt_best \
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| 188 |
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--repo-src ./src \
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| 189 |
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--split test \
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| 190 |
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--device cuda \
|
| 191 |
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--output-json ./tmp/custom_gopt_252_test_metrics.json
|
| 192 |
+
```
|
| 193 |
+
|
| 194 |
+
如果你想跑验证集,把 `--split test` 改成 `--split val` 即可。
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| 195 |
+
|
| 196 |
+
这个脚本会:
|
| 197 |
+
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| 198 |
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1. 读取 `streaming_gopt_best/config.json`
|
| 199 |
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2. 根据配置恢复 `StreamingGOPT`
|
| 200 |
+
3. 加载 `best_audio_model.pth`
|
| 201 |
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4. 调用仓库里的 `validate(...)`
|
| 202 |
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5. 输出和训练末尾同口径的 PCC / MSE 摘要
|
| 203 |
+
|
| 204 |
+
## 单独加载 Whisper 最佳模型
|
| 205 |
+
|
| 206 |
+
```python
|
| 207 |
+
import os
|
| 208 |
+
from transformers import pipeline
|
| 209 |
+
import torch
|
| 210 |
+
|
| 211 |
+
bundle_dir = os.environ["BUNDLE_DIR"]
|
| 212 |
+
|
| 213 |
+
pipe = pipeline(
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| 214 |
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"automatic-speech-recognition",
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| 215 |
+
model=f"{bundle_dir}/whisper_best_model",
|
| 216 |
+
tokenizer=f"{bundle_dir}/whisper_best_model",
|
| 217 |
+
feature_extractor=f"{bundle_dir}/whisper_best_model",
|
| 218 |
+
framework="pt",
|
| 219 |
+
device=0,
|
| 220 |
+
torch_dtype=torch.float16,
|
| 221 |
+
)
|
| 222 |
+
|
| 223 |
+
result = pipe("demo.wav", return_timestamps="word")
|
| 224 |
+
print(result["text"])
|
| 225 |
+
```
|
| 226 |
+
|
| 227 |
+
## 单独加载 GOPT 最佳模型
|
| 228 |
+
|
| 229 |
+
```python
|
| 230 |
+
import json
|
| 231 |
+
import os
|
| 232 |
+
import sys
|
| 233 |
+
from pathlib import Path
|
| 234 |
+
|
| 235 |
+
import torch
|
| 236 |
+
|
| 237 |
+
repo_src = Path("./src")
|
| 238 |
+
sys.path.insert(0, str(repo_src))
|
| 239 |
+
|
| 240 |
+
from models import StreamingGOPT
|
| 241 |
+
from train_streaming_charsiu import load_model_state
|
| 242 |
+
|
| 243 |
+
bundle_dir = Path(os.environ["BUNDLE_DIR"])
|
| 244 |
+
model_dir = bundle_dir / "streaming_gopt_best"
|
| 245 |
+
cfg = json.loads((model_dir / "config.json").read_text(encoding="utf-8"))
|
| 246 |
+
args = cfg["args"]
|
| 247 |
+
|
| 248 |
+
model = StreamingGOPT(
|
| 249 |
+
embed_dim=args["embed_dim"],
|
| 250 |
+
num_heads=args["heads"],
|
| 251 |
+
depth=args["depth"],
|
| 252 |
+
input_dim=cfg["input_dim"],
|
| 253 |
+
seq_len=cfg["seq_len"],
|
| 254 |
+
phn_num=cfg["phn_num"],
|
| 255 |
+
)
|
| 256 |
+
|
| 257 |
+
state = torch.load(model_dir / "best_audio_model.pth", map_location="cpu")
|
| 258 |
+
load_model_state(model, state)
|
| 259 |
+
model.eval()
|
| 260 |
+
```
|
| 261 |
+
|
| 262 |
+
## 单独加载 Charsiu 对齐模型
|
| 263 |
+
|
| 264 |
+
```python
|
| 265 |
+
import os
|
| 266 |
+
import sys
|
| 267 |
+
|
| 268 |
+
charsiu_repo = "./third_party/charsiu_repo"
|
| 269 |
+
bundle_dir = os.environ["BUNDLE_DIR"]
|
| 270 |
+
sys.path.insert(0, charsiu_repo)
|
| 271 |
+
sys.path.insert(0, os.path.join(charsiu_repo, "src"))
|
| 272 |
+
|
| 273 |
+
from Charsiu import charsiu_forced_aligner
|
| 274 |
+
|
| 275 |
+
aligner = charsiu_forced_aligner(
|
| 276 |
+
aligner=f"{bundle_dir}/charsiu_en_w2v2_tiny_fc_10ms",
|
| 277 |
+
)
|
| 278 |
+
```
|
| 279 |
+
|
| 280 |
+
## 说明
|
| 281 |
+
|
| 282 |
+
- 这是一个“评测模型包”,不是完整实验归档。
|
| 283 |
+
- SpeechOcean762 数据集未包含在内。
|
| 284 |
+
- `Charsiu` 源码仓库也未包含在内,但 README 已给出固定提交。
|
| 285 |
+
- 如果后续换了 `custom-gopt` 的模型定义,请以 `streaming_gopt_best/config.json` 为准恢复网络结构。
|
bundle_manifest.json
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"repo_id": "faeea/custom-gopt-252-eval",
|
| 3 |
+
"description": "Bundle of the locally downloaded best validation Streaming GOPT checkpoint plus the Whisper and Charsiu models required by the evaluation pipeline.",
|
| 4 |
+
"artifacts": [
|
| 5 |
+
{
|
| 6 |
+
"path": "streaming_gopt_best/best_audio_model.pth",
|
| 7 |
+
"type": "streaming_gopt_weights",
|
| 8 |
+
"purpose": "Pronunciation scoring model selected by validation phone MSE."
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"path": "streaming_gopt_best/config.json",
|
| 12 |
+
"type": "streaming_gopt_config",
|
| 13 |
+
"purpose": "Network shape and training arguments used to restore the model."
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"path": "streaming_gopt_best/result.csv",
|
| 17 |
+
"type": "training_metrics",
|
| 18 |
+
"purpose": "Per-epoch train/validation metrics."
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"path": "streaming_gopt_best/test_metrics.json",
|
| 22 |
+
"type": "test_metrics",
|
| 23 |
+
"purpose": "Held-out test metrics for the best validation checkpoint."
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"path": "whisper_best_model",
|
| 27 |
+
"type": "transformers_whisper_model",
|
| 28 |
+
"purpose": "ASR model used to build streaming ASR-driven GOPT chunks."
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"path": "charsiu_en_w2v2_tiny_fc_10ms",
|
| 32 |
+
"type": "charsiu_aligner_model",
|
| 33 |
+
"purpose": "Frame-level phone alignment model used by preprocessing."
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"path": "examples/eval_streaming_gopt_test.py",
|
| 37 |
+
"type": "example_script",
|
| 38 |
+
"purpose": "Minimal evaluation script for val/test split using the bundled best GOPT checkpoint."
|
| 39 |
+
}
|
| 40 |
+
],
|
| 41 |
+
"best_validation_summary": {
|
| 42 |
+
"selection_metric": "phone_val_mse",
|
| 43 |
+
"best_epoch": 15,
|
| 44 |
+
"phone_val_mse": 0.04897475987672806,
|
| 45 |
+
"phone_val_pcc": 0.24482591936290432,
|
| 46 |
+
"utt_val_pcc_total": 0.6696266195414817,
|
| 47 |
+
"word_val_pcc_total": 0.24699408632096473
|
| 48 |
+
},
|
| 49 |
+
"test_summary": {
|
| 50 |
+
"phone_test_mse": 0.04749840870499611,
|
| 51 |
+
"phone_test_pcc": 0.3332444625995981,
|
| 52 |
+
"utt_test_pcc": [
|
| 53 |
+
0.6184778675115561,
|
| 54 |
+
-0.005628494483717365,
|
| 55 |
+
0.7233702728305461,
|
| 56 |
+
0.7387418272039076,
|
| 57 |
+
0.6823243104620896
|
| 58 |
+
],
|
| 59 |
+
"word_test_pcc": [
|
| 60 |
+
0.3099214468824142,
|
| 61 |
+
0.022433912396827224,
|
| 62 |
+
0.321762854413528
|
| 63 |
+
]
|
| 64 |
+
},
|
| 65 |
+
"code_dependencies": {
|
| 66 |
+
"custom_gopt_repo": "https://github.com/hf49w/custom-gopt.git",
|
| 67 |
+
"charsiu_repo": "https://github.com/lingjzhu/charsiu",
|
| 68 |
+
"charsiu_repo_commit": "13a69f2a22ca0c0962b75cc693399b0ae23a12c9"
|
| 69 |
+
}
|
| 70 |
+
}
|
charsiu_en_w2v2_tiny_fc_10ms/config.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation_dropout": 0.1,
|
| 3 |
+
"apply_spec_augment": true,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"Wav2Vec2ForFrameClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_dropout": 0.1,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"codevector_dim": 256,
|
| 10 |
+
"contrastive_logits_temperature": 0.1,
|
| 11 |
+
"conv_bias": false,
|
| 12 |
+
"conv_dim": [
|
| 13 |
+
512,
|
| 14 |
+
512,
|
| 15 |
+
512,
|
| 16 |
+
512,
|
| 17 |
+
512,
|
| 18 |
+
512,
|
| 19 |
+
512
|
| 20 |
+
],
|
| 21 |
+
"conv_kernel": [
|
| 22 |
+
10,
|
| 23 |
+
3,
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
3,
|
| 27 |
+
2,
|
| 28 |
+
2
|
| 29 |
+
],
|
| 30 |
+
"conv_stride": [
|
| 31 |
+
5,
|
| 32 |
+
2,
|
| 33 |
+
2,
|
| 34 |
+
2,
|
| 35 |
+
2,
|
| 36 |
+
2,
|
| 37 |
+
1
|
| 38 |
+
],
|
| 39 |
+
"ctc_loss_reduction": "sum",
|
| 40 |
+
"ctc_zero_infinity": false,
|
| 41 |
+
"diversity_loss_weight": 0.1,
|
| 42 |
+
"do_stable_layer_norm": false,
|
| 43 |
+
"eos_token_id": 2,
|
| 44 |
+
"feat_extract_activation": "gelu",
|
| 45 |
+
"feat_extract_norm": "group",
|
| 46 |
+
"feat_proj_dropout": 0.1,
|
| 47 |
+
"feat_quantizer_dropout": 0.0,
|
| 48 |
+
"final_dropout": 0.1,
|
| 49 |
+
"gradient_checkpointing": false,
|
| 50 |
+
"hidden_act": "gelu",
|
| 51 |
+
"hidden_dropout": 0.1,
|
| 52 |
+
"hidden_size": 384,
|
| 53 |
+
"initializer_range": 0.02,
|
| 54 |
+
"intermediate_size": 3072,
|
| 55 |
+
"layer_norm_eps": 1e-05,
|
| 56 |
+
"layerdrop": 0.1,
|
| 57 |
+
"mask_feature_length": 10,
|
| 58 |
+
"mask_feature_prob": 0.0,
|
| 59 |
+
"mask_time_length": 10,
|
| 60 |
+
"mask_time_prob": 0.05,
|
| 61 |
+
"model_type": "wav2vec2",
|
| 62 |
+
"num_attention_heads": 6,
|
| 63 |
+
"num_codevector_groups": 2,
|
| 64 |
+
"num_codevectors_per_group": 320,
|
| 65 |
+
"num_conv_pos_embedding_groups": 16,
|
| 66 |
+
"num_conv_pos_embeddings": 128,
|
| 67 |
+
"num_feat_extract_layers": 7,
|
| 68 |
+
"num_hidden_layers": 6,
|
| 69 |
+
"num_negatives": 100,
|
| 70 |
+
"pad_token_id": 0,
|
| 71 |
+
"proj_codevector_dim": 256,
|
| 72 |
+
"torch_dtype": "float32",
|
| 73 |
+
"transformers_version": "4.9.0",
|
| 74 |
+
"vocab_size": 42
|
| 75 |
+
}
|
charsiu_en_w2v2_tiny_fc_10ms/preprocessor_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Entry not found
|
charsiu_en_w2v2_tiny_fc_10ms/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a5b59d8cc3c548382dbc38c48d537b0bb520b9a67d2fafef2afee7740f9ce0c7
|
| 3 |
+
size 93368972
|
examples/eval_streaming_gopt_test.py
ADDED
|
@@ -0,0 +1,119 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import argparse
|
| 2 |
+
import json
|
| 3 |
+
import sys
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
|
| 6 |
+
import torch
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
def get_args():
|
| 10 |
+
parser = argparse.ArgumentParser(
|
| 11 |
+
description="Evaluate the bundled Streaming GOPT checkpoint on a prepared val/test split."
|
| 12 |
+
)
|
| 13 |
+
parser.add_argument("--data-dir", type=Path, required=True, help="Directory containing *_chunks.npz and metadata.json.")
|
| 14 |
+
parser.add_argument("--model-dir", type=Path, required=True, help="Directory containing best_audio_model.pth and config.json.")
|
| 15 |
+
parser.add_argument("--repo-src", type=Path, required=True, help="Path to custom-gopt/src.")
|
| 16 |
+
parser.add_argument("--split", type=str, default="test", choices=["val", "test", "train"])
|
| 17 |
+
parser.add_argument("--device", type=str, default=None, help="cuda / cuda:0 / cpu. Defaults to cuda if available.")
|
| 18 |
+
parser.add_argument("--output-json", type=Path, default=None)
|
| 19 |
+
parser.add_argument("--main-context-tokens", type=int, default=None, help="Override evaluation main context tokens.")
|
| 20 |
+
parser.add_argument("--right-context-tokens", type=int, default=None, help="Override evaluation right context tokens.")
|
| 21 |
+
return parser.parse_args()
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
def load_summary(data_dir, model_dir, repo_src, split, device_name, main_context_tokens=None, right_context_tokens=None):
|
| 25 |
+
sys.path.insert(0, str(repo_src))
|
| 26 |
+
|
| 27 |
+
from models import StreamingGOPT, StreamingGOPTNoPhn
|
| 28 |
+
from train_streaming_charsiu import StreamingChunkDataset, load_model_state, make_loader, validate
|
| 29 |
+
|
| 30 |
+
metadata = json.loads((data_dir / "metadata.json").read_text(encoding="utf-8"))
|
| 31 |
+
cfg = json.loads((model_dir / "config.json").read_text(encoding="utf-8"))
|
| 32 |
+
args_dict = cfg["args"]
|
| 33 |
+
|
| 34 |
+
class Args:
|
| 35 |
+
pass
|
| 36 |
+
|
| 37 |
+
args = Args()
|
| 38 |
+
for key, value in args_dict.items():
|
| 39 |
+
setattr(args, key, value)
|
| 40 |
+
|
| 41 |
+
args.main_context_token_choices = args_dict.get("main_context_token_choices") or [
|
| 42 |
+
int(item.strip()) for item in str(args_dict["main_context_tokens"]).split(",") if item.strip()
|
| 43 |
+
]
|
| 44 |
+
args.right_context_token_choices = args_dict.get("right_context_token_choices") or [
|
| 45 |
+
int(item.strip()) for item in str(args_dict["right_context_tokens"]).split(",") if item.strip()
|
| 46 |
+
]
|
| 47 |
+
|
| 48 |
+
device = torch.device(device_name or ("cuda" if torch.cuda.is_available() else "cpu"))
|
| 49 |
+
if getattr(args, "tf32", False) and device.type == "cuda":
|
| 50 |
+
if hasattr(torch, "set_float32_matmul_precision"):
|
| 51 |
+
torch.set_float32_matmul_precision("high")
|
| 52 |
+
torch.backends.cuda.matmul.allow_tf32 = True
|
| 53 |
+
torch.backends.cudnn.allow_tf32 = True
|
| 54 |
+
|
| 55 |
+
dataset = StreamingChunkDataset(split, data_dir, metadata, final_only=(split != "train"))
|
| 56 |
+
loader = make_loader(dataset, len(dataset), False, int(getattr(args, "num_workers", 0)))
|
| 57 |
+
|
| 58 |
+
model_cls = StreamingGOPT if args_dict["model"] == "streaming_gopt" else StreamingGOPTNoPhn
|
| 59 |
+
model = model_cls(
|
| 60 |
+
embed_dim=int(args_dict["embed_dim"]),
|
| 61 |
+
num_heads=int(args_dict["heads"]),
|
| 62 |
+
depth=int(args_dict["depth"]),
|
| 63 |
+
input_dim=int(cfg["input_dim"]),
|
| 64 |
+
seq_len=int(cfg["seq_len"]),
|
| 65 |
+
phn_num=int(cfg["phn_num"]),
|
| 66 |
+
)
|
| 67 |
+
|
| 68 |
+
state = torch.load(model_dir / "best_audio_model.pth", map_location=device)
|
| 69 |
+
load_model_state(model, state)
|
| 70 |
+
model = model.to(device)
|
| 71 |
+
model.eval()
|
| 72 |
+
|
| 73 |
+
eval_main_context = int(main_context_tokens if main_context_tokens is not None else max(args.main_context_token_choices))
|
| 74 |
+
eval_right_context = int(right_context_tokens if right_context_tokens is not None else max(args.right_context_token_choices))
|
| 75 |
+
|
| 76 |
+
mse, corr, utt_mse, utt_corr, word_mse, word_corr = validate(
|
| 77 |
+
model,
|
| 78 |
+
loader,
|
| 79 |
+
args,
|
| 80 |
+
-1,
|
| 81 |
+
device,
|
| 82 |
+
eval_main_context,
|
| 83 |
+
eval_right_context,
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
return {
|
| 87 |
+
"split": split,
|
| 88 |
+
"device": str(device),
|
| 89 |
+
"main_context_tokens": eval_main_context,
|
| 90 |
+
"right_context_tokens": eval_right_context,
|
| 91 |
+
"phone_mse": float(mse),
|
| 92 |
+
"phone_pcc": float(corr),
|
| 93 |
+
"utt_mse": [float(x) for x in utt_mse],
|
| 94 |
+
"utt_pcc": [float(x) for x in utt_corr],
|
| 95 |
+
"word_mse": [float(x) for x in word_mse],
|
| 96 |
+
"word_pcc": [float(x) for x in word_corr],
|
| 97 |
+
}
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
def main():
|
| 101 |
+
args = get_args()
|
| 102 |
+
summary = load_summary(
|
| 103 |
+
data_dir=args.data_dir,
|
| 104 |
+
model_dir=args.model_dir,
|
| 105 |
+
repo_src=args.repo_src,
|
| 106 |
+
split=args.split,
|
| 107 |
+
device_name=args.device,
|
| 108 |
+
main_context_tokens=args.main_context_tokens,
|
| 109 |
+
right_context_tokens=args.right_context_tokens,
|
| 110 |
+
)
|
| 111 |
+
payload = json.dumps(summary, ensure_ascii=False, indent=2)
|
| 112 |
+
print(payload)
|
| 113 |
+
if args.output_json is not None:
|
| 114 |
+
args.output_json.parent.mkdir(parents=True, exist_ok=True)
|
| 115 |
+
args.output_json.write_text(payload, encoding="utf-8")
|
| 116 |
+
|
| 117 |
+
|
| 118 |
+
if __name__ == "__main__":
|
| 119 |
+
main()
|
streaming_gopt_best/best_audio_model.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c86a67b3157d95635e5aebaa10e4a8e45eacf5b052201a2444a7ec61d26b8a20
|
| 3 |
+
size 170812
|
streaming_gopt_best/config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"data_dir": "/DATA_2/guest/custom-gopt/data/streaming_asr_gopt_v4",
|
| 3 |
+
"input_dim": 46,
|
| 4 |
+
"phn_num": 40,
|
| 5 |
+
"seq_len": 499,
|
| 6 |
+
"args": {
|
| 7 |
+
"data_dir": "/DATA_2/guest/custom-gopt/data/streaming_asr_gopt_v4",
|
| 8 |
+
"exp_dir": "/DATA_2/guest/custom-gopt/exp/streaming-asr-gopt",
|
| 9 |
+
"lr": 0.001,
|
| 10 |
+
"n_epochs": 100,
|
| 11 |
+
"depth": 3,
|
| 12 |
+
"heads": 1,
|
| 13 |
+
"batch_size": 64,
|
| 14 |
+
"embed_dim": 24,
|
| 15 |
+
"loss_w_phn": 1.0,
|
| 16 |
+
"loss_w_word": 1.0,
|
| 17 |
+
"loss_w_utt": 1.0,
|
| 18 |
+
"model": "streaming_gopt",
|
| 19 |
+
"noise": 0.0,
|
| 20 |
+
"num_workers": 8,
|
| 21 |
+
"device": "cuda",
|
| 22 |
+
"main_context_tokens": "4,8,12,16",
|
| 23 |
+
"right_context_tokens": "0,1,2,4",
|
| 24 |
+
"compile": true,
|
| 25 |
+
"tf32": true,
|
| 26 |
+
"seed": 1337,
|
| 27 |
+
"resume": false,
|
| 28 |
+
"main_context_token_choices": [
|
| 29 |
+
4,
|
| 30 |
+
8,
|
| 31 |
+
12,
|
| 32 |
+
16
|
| 33 |
+
],
|
| 34 |
+
"right_context_token_choices": [
|
| 35 |
+
0,
|
| 36 |
+
1,
|
| 37 |
+
2,
|
| 38 |
+
4
|
| 39 |
+
]
|
| 40 |
+
}
|
| 41 |
+
}
|
streaming_gopt_best/result.csv
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,phone_train_mse,phone_train_pcc,phone_val_mse,phone_val_pcc,learning rate,utt_train_mse_accuracy,utt_train_mse_completeness,utt_train_mse_fluency,utt_train_mse_prosodic,utt_train_mse_total,utt_train_pcc_accuracy,utt_train_pcc_completeness,utt_train_pcc_fluency,utt_train_pcc_prosodic,utt_train_pcc_total,utt_val_mse_accuracy,utt_val_mse_completeness,utt_val_mse_fluency,utt_val_mse_prosodic,utt_val_mse_total,utt_val_pcc_accuracy,utt_val_pcc_completeness,utt_val_pcc_fluency,utt_val_pcc_prosodic,utt_val_pcc_total,word_train_pcc_accuracy,word_train_pcc_stress,word_train_pcc_total,word_val_pcc_accuracy,word_val_pcc_stress,word_val_pcc_total
|
| 2 |
+
0.000000000000000000e+00,1.235340461134910583e-01,2.045813208805309369e-01,5.004114285111427307e-02,1.350230193937145273e-01,1.000000000000000021e-03,9.877202659845352173e-02,4.646093398332595825e-02,7.660634070634841919e-02,6.784147769212722778e-02,7.776261866092681885e-02,4.310353978197695168e-01,3.802600097156516590e-02,5.252460986336557891e-01,5.498075755316444990e-01,5.501969250731542083e-01,9.267860651016235352e-02,4.967064037919044495e-02,7.033895701169967651e-02,6.616973131895065308e-02,7.093696296215057373e-02,4.085451540178233198e-01,3.740526359020353991e-02,4.763776587408484198e-01,4.964763195960044673e-01,4.792450841291747698e-01,2.000143927874706851e-01,-4.145700521203641437e-02,1.383860899392833632e-01,1.141555211450323293e-01,-2.027725569670225589e-02,6.565750205650007498e-02
|
| 3 |
+
1.000000000000000000e+00,1.184868216514587402e-01,2.910586407588844349e-01,6.116220727562904358e-02,2.051017736102963007e-01,1.000000000000000021e-03,8.266348391771316528e-02,1.827544346451759338e-02,6.566909700632095337e-02,6.127092242240905762e-02,6.888978928327560425e-02,5.485903134674403603e-01,2.662005115535413455e-02,6.062457446392179872e-01,6.221272024485408059e-01,6.342936894884956267e-01,8.301135152578353882e-02,2.180334553122520447e-02,6.202907115221023560e-02,6.595259904861450195e-02,7.144940644502639771e-02,4.796834219162437463e-01,-3.508213085399147432e-03,5.359448943849612901e-01,5.459072791890706711e-01,5.361442996760037438e-01,3.140051121623080310e-01,-2.720217594754888515e-02,3.039190061677121135e-01,1.799967304068123553e-01,-1.198715457928854408e-02,1.873087115747607001e-01
|
| 4 |
+
2.000000000000000000e+00,1.147044599056243896e-01,3.225556741897041557e-01,5.857727676630020142e-02,2.203790634445955687e-01,1.000000000000000021e-03,7.818549871444702148e-02,1.245764456689357758e-02,4.936320707201957703e-02,4.732264578342437744e-02,5.660348013043403625e-02,5.994370971093697653e-01,1.786817479381287016e-02,7.167850548372713959e-01,7.116895402148621930e-01,7.035002054702058638e-01,8.528529852628707886e-02,1.411590352654457092e-02,5.092444643378257751e-02,5.678636953234672546e-02,6.648311764001846313e-02,4.997844944190009686e-01,-1.142835776754601469e-02,6.321202473781405429e-01,6.143823903729231928e-01,5.804483532105674248e-01,3.492462615641739876e-01,1.643410823682342828e-02,3.416655559549772181e-01,1.977163350474776260e-01,6.348936052465829760e-03,2.109654339779651611e-01
|
| 5 |
+
3.000000000000000000e+00,1.116139814257621765e-01,3.409072128594995976e-01,5.387086048722267151e-02,2.257915330453995617e-01,1.000000000000000021e-03,6.639386713504791260e-02,4.646826535463333130e-03,3.953288495540618896e-02,3.578906506299972534e-02,5.021971836686134338e-02,6.590620369759851993e-01,-5.218177034998584818e-03,7.791623352816083869e-01,7.823937745757524320e-01,7.595093253286766544e-01,7.539852708578109741e-02,4.657715093344449997e-03,4.146544635295867920e-02,4.337986558675765991e-02,5.959280207753181458e-02,5.378385243236883939e-01,-1.792335852472712668e-02,6.857673313977326046e-01,6.870768503334834243e-01,6.253979456343558008e-01,3.749679369670010920e-01,1.989223734160358234e-02,3.664960057620821332e-01,2.045613945709632286e-01,3.334860989374683997e-03,2.206990545649490654e-01
|
| 6 |
+
4.000000000000000000e+00,1.101092398166656494e-01,3.622456481067177769e-01,5.583361536264419556e-02,2.324315119749422454e-01,1.000000000000000021e-03,5.784583464264869690e-02,2.607242204248905182e-03,3.406937047839164734e-02,3.304997086524963379e-02,4.331161454319953918e-02,7.006484110324027181e-01,5.953572188686393624e-03,8.118056938001801948e-01,8.112755723301273703e-01,7.835379753196197727e-01,6.650744378566741943e-02,2.522290684282779694e-03,3.611215576529502869e-02,3.968946263194084167e-02,5.340540409088134766e-02,5.742232998536245248e-01,-3.378812367196130234e-02,7.257885908903470851e-01,7.189529872095512530e-01,6.450728449885597682e-01,3.979756442986733256e-01,3.098762060428505993e-02,3.899366498923125257e-01,2.092019343339130144e-01,6.705467142614731334e-03,2.283903558038832271e-01
|
| 7 |
+
5.000000000000000000e+00,1.069144904613494873e-01,3.873737444161740595e-01,5.207821354269981384e-02,2.402234028790902753e-01,1.000000000000000021e-03,5.258130282163619995e-02,2.678525401279330254e-03,3.110226243734359741e-02,3.051544912159442902e-02,4.064268618822097778e-02,7.351036183431728377e-01,1.942283683468313746e-02,8.273925631301916050e-01,8.248936885747807368e-01,7.965618081268512896e-01,6.464455276727676392e-02,2.378458390012383461e-03,3.380800783634185791e-02,3.780567273497581482e-02,5.341657251119613647e-02,5.983585064708117907e-01,-4.408377172037906966e-02,7.476957405906451415e-01,7.368199406407733854e-01,6.593135224263207972e-01,4.204212567652373944e-01,2.543233871001420593e-02,4.140257889096473076e-01,2.124275125864353020e-01,2.454349587112735365e-03,2.338407287763532572e-01
|
| 8 |
+
6.000000000000000000e+00,1.043750494718551636e-01,4.143605977052017830e-01,5.434567481279373169e-02,2.462661467163314022e-01,1.000000000000000021e-03,5.251863226294517517e-02,2.184746786952018738e-03,3.157585486769676208e-02,3.060924820601940155e-02,4.082287475466728210e-02,7.464772412416650349e-01,-1.264991952211727251e-03,8.312428866355485724e-01,8.258548057092519601e-01,7.986923609351539444e-01,6.759583950042724609e-02,2.096221083775162697e-03,3.350907191634178162e-02,3.793459013104438782e-02,5.375051498413085938e-02,5.956268776359360251e-01,-4.885229063287718082e-02,7.472285652189233351e-01,7.350111679888341465e-01,6.537816442872182998e-01,4.430507418152341281e-01,4.082618294580249441e-02,4.403910239457556886e-01,2.136561187670164008e-01,7.434306981240531437e-03,2.387849723892530862e-01
|
| 9 |
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| 99 |
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9.700000000000000000e+01,8.101806789636611938e-02,5.960730427198336345e-01,5.408756807446479797e-02,2.621434550630425409e-01,1.525878906250000032e-08,3.813346475362777710e-02,5.767797585576772690e-03,2.646529860794544220e-02,2.534661255776882172e-02,3.202319145202636719e-02,8.219507733780294645e-01,4.078598756896006927e-02,8.553596334894796316e-01,8.506896320932547662e-01,8.450406796460758763e-01,7.104393094778060913e-02,7.136013824492692947e-03,3.743766620755195618e-02,3.848517686128616333e-02,5.768403038382530212e-02,6.076534023845380217e-01,-3.953254731194388166e-02,7.352474587559215680e-01,7.298366901735842127e-01,6.540065276794952975e-01,5.974233007934404149e-01,1.535466717123775138e-01,6.109855587573461699e-01,2.264362461456725095e-01,4.071456038196068217e-02,2.579380724984979278e-01
|
| 100 |
+
9.800000000000000000e+01,8.101820945739746094e-02,5.960721122712319131e-01,5.408671870827674866e-02,2.621404230546904857e-01,1.525878906250000032e-08,3.813308477401733398e-02,5.767727270722389221e-03,2.646533586084842682e-02,2.534639090299606323e-02,3.202301263809204102e-02,8.219515150596888864e-01,4.077832850968361039e-02,8.553593206441318930e-01,8.506909576236502124e-01,8.450413701330246052e-01,7.104279845952987671e-02,7.136046420782804489e-03,3.743780776858329773e-02,3.848555311560630798e-02,5.768436938524246216e-02,6.076569755899522418e-01,-3.953146398859024718e-02,7.352463649325610140e-01,7.298335357717173899e-01,6.540052379129228655e-01,5.974221040974255770e-01,1.535518100936120456e-01,6.109851234936626296e-01,2.264346720460700124e-01,4.070491649551836316e-02,2.579373034962839650e-01
|
| 101 |
+
9.900000000000000000e+01,8.101838827133178711e-02,5.960709543361926155e-01,5.408608168363571167e-02,2.621401988428953000e-01,1.525878906250000032e-08,3.813280165195465088e-02,5.767743103206157684e-03,2.646561898291110992e-02,2.534663677215576172e-02,3.202317282557487488e-02,8.219515701827679877e-01,4.077562725482326844e-02,8.553578504004024641e-01,8.506895828349472222e-01,8.450407011850959993e-01,7.104308158159255981e-02,7.136015687137842178e-03,3.743812814354896545e-02,3.848547115921974182e-02,5.768464878201484680e-02,6.076560149633042363e-01,-3.952822025499329317e-02,7.352448828193783870e-01,7.298345347133669003e-01,6.540017849926472726e-01,5.974226887968988597e-01,1.535440620545302226e-01,6.109841653913451465e-01,2.264347666566980388e-01,4.071089830188269476e-02,2.579375816221622930e-01
|
streaming_gopt_best/test_metrics.json
ADDED
|
@@ -0,0 +1,29 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"phone_test_mse": 0.04749840870499611,
|
| 3 |
+
"phone_test_pcc": 0.3332444625995981,
|
| 4 |
+
"utt_test_mse": [
|
| 5 |
+
0.060593076050281525,
|
| 6 |
+
0.010257643647491932,
|
| 7 |
+
0.037500832229852676,
|
| 8 |
+
0.03365592285990715,
|
| 9 |
+
0.05141453817486763
|
| 10 |
+
],
|
| 11 |
+
"utt_test_pcc": [
|
| 12 |
+
0.6184778675115561,
|
| 13 |
+
-0.005628494483717365,
|
| 14 |
+
0.7233702728305461,
|
| 15 |
+
0.7387418272039076,
|
| 16 |
+
0.6823243104620896
|
| 17 |
+
],
|
| 18 |
+
"word_test_mse": [
|
| 19 |
+
0.05728999897837639,
|
| 20 |
+
0.0032619887497276068,
|
| 21 |
+
0.04410763829946518
|
| 22 |
+
],
|
| 23 |
+
"word_test_pcc": [
|
| 24 |
+
0.3099214468824142,
|
| 25 |
+
0.022433912396827224,
|
| 26 |
+
0.321762854413528
|
| 27 |
+
],
|
| 28 |
+
"best_epoch": 15
|
| 29 |
+
}
|
whisper_best_model/added_tokens.json
ADDED
|
@@ -0,0 +1,1609 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 1318 |
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|
| 1319 |
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|
| 1320 |
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|
| 1321 |
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|
| 1322 |
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|
| 1323 |
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|
| 1324 |
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|
| 1325 |
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|
| 1326 |
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|
| 1327 |
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|
| 1328 |
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|
| 1329 |
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|
| 1330 |
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|
| 1331 |
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|
| 1332 |
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|
| 1333 |
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|
| 1334 |
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|
| 1335 |
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|
| 1336 |
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|
| 1337 |
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|
| 1338 |
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|
| 1339 |
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|
| 1340 |
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|
| 1341 |
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|
| 1342 |
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|
| 1343 |
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|
| 1344 |
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|
| 1345 |
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|
| 1346 |
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|
| 1347 |
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|
| 1348 |
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|
| 1349 |
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|
| 1350 |
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|
| 1351 |
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|
| 1352 |
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|
| 1353 |
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|
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|
| 1355 |
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|
| 1356 |
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|
| 1357 |
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|
| 1358 |
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|
| 1359 |
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|
| 1360 |
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|
| 1361 |
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|
| 1362 |
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|
| 1363 |
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|
| 1364 |
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|
| 1365 |
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|
| 1366 |
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|
| 1367 |
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|
| 1368 |
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|
| 1369 |
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|
| 1370 |
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|
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|
| 1372 |
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|
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|
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|
| 1375 |
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|
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|
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|
| 1378 |
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|
| 1379 |
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|
| 1380 |
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|
| 1381 |
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|
| 1382 |
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|
| 1383 |
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|
| 1384 |
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|
| 1385 |
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|
| 1386 |
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|
| 1387 |
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|
| 1388 |
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|
| 1389 |
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|
| 1390 |
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|
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|
| 1392 |
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|
| 1393 |
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|
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|
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|
| 1396 |
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|
| 1397 |
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|
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|
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|
| 1400 |
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|
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|
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|
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|
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|
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|
| 1406 |
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|
| 1407 |
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|
| 1408 |
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|
| 1409 |
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|
| 1410 |
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|
| 1411 |
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|
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|
| 1413 |
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|
| 1414 |
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|
| 1415 |
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|
| 1416 |
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|
| 1417 |
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|
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|
| 1419 |
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|
| 1420 |
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|
| 1421 |
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|
| 1422 |
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|
| 1423 |
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|
| 1424 |
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|
| 1425 |
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|
| 1426 |
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|
| 1427 |
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|
| 1428 |
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|
| 1429 |
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|
| 1430 |
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|
| 1431 |
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|
| 1432 |
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|
| 1433 |
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|
| 1434 |
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|
| 1435 |
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|
| 1436 |
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|
| 1437 |
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|
| 1438 |
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|
| 1439 |
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|
| 1440 |
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|
| 1441 |
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|
| 1442 |
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|
| 1443 |
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|
| 1444 |
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|
| 1445 |
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|
| 1446 |
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|
| 1447 |
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|
| 1448 |
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|
| 1449 |
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|
| 1450 |
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|
| 1451 |
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|
| 1452 |
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|
| 1453 |
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|
| 1454 |
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|
| 1455 |
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|
| 1456 |
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|
| 1457 |
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|
| 1458 |
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|
| 1459 |
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|
| 1460 |
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|
| 1461 |
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|
| 1462 |
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|
| 1463 |
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|
| 1464 |
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|
| 1465 |
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|
| 1466 |
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|
| 1467 |
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|
| 1468 |
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|
| 1469 |
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|
| 1470 |
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|
| 1471 |
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|
| 1472 |
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|
| 1473 |
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|
| 1474 |
+
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|
| 1475 |
+
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|
| 1476 |
+
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|
| 1477 |
+
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|
| 1478 |
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|
| 1479 |
+
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|
| 1480 |
+
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|
| 1481 |
+
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|
| 1482 |
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|
| 1483 |
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|
| 1484 |
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|
| 1485 |
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|
| 1486 |
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|
| 1487 |
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|
| 1488 |
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|
| 1489 |
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|
| 1490 |
+
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|
| 1491 |
+
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|
| 1492 |
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|
| 1493 |
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|
| 1494 |
+
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|
| 1495 |
+
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|
| 1496 |
+
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|
| 1497 |
+
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|
| 1498 |
+
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|
| 1499 |
+
"<|9.92|>": 50860,
|
| 1500 |
+
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|
| 1501 |
+
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|
| 1502 |
+
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|
| 1503 |
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|
| 1504 |
+
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|
| 1505 |
+
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|
| 1506 |
+
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|
| 1507 |
+
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|
| 1508 |
+
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|
| 1509 |
+
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|
| 1510 |
+
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|
| 1511 |
+
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|
| 1512 |
+
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|
| 1513 |
+
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|
| 1514 |
+
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|
| 1515 |
+
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|
| 1516 |
+
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|
| 1517 |
+
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|
| 1518 |
+
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|
| 1519 |
+
"<|de|>": 50261,
|
| 1520 |
+
"<|el|>": 50281,
|
| 1521 |
+
"<|en|>": 50259,
|
| 1522 |
+
"<|es|>": 50262,
|
| 1523 |
+
"<|et|>": 50307,
|
| 1524 |
+
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|
| 1525 |
+
"<|fa|>": 50300,
|
| 1526 |
+
"<|fi|>": 50277,
|
| 1527 |
+
"<|fo|>": 50338,
|
| 1528 |
+
"<|fr|>": 50265,
|
| 1529 |
+
"<|gl|>": 50319,
|
| 1530 |
+
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|
| 1531 |
+
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|
| 1532 |
+
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|
| 1533 |
+
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|
| 1534 |
+
"<|hi|>": 50276,
|
| 1535 |
+
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|
| 1536 |
+
"<|ht|>": 50339,
|
| 1537 |
+
"<|hu|>": 50286,
|
| 1538 |
+
"<|hy|>": 50312,
|
| 1539 |
+
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|
| 1540 |
+
"<|is|>": 50311,
|
| 1541 |
+
"<|it|>": 50274,
|
| 1542 |
+
"<|ja|>": 50266,
|
| 1543 |
+
"<|jw|>": 50356,
|
| 1544 |
+
"<|ka|>": 50329,
|
| 1545 |
+
"<|kk|>": 50316,
|
| 1546 |
+
"<|km|>": 50323,
|
| 1547 |
+
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|
| 1548 |
+
"<|ko|>": 50264,
|
| 1549 |
+
"<|la|>": 50294,
|
| 1550 |
+
"<|lb|>": 50345,
|
| 1551 |
+
"<|ln|>": 50353,
|
| 1552 |
+
"<|lo|>": 50336,
|
| 1553 |
+
"<|lt|>": 50293,
|
| 1554 |
+
"<|lv|>": 50301,
|
| 1555 |
+
"<|mg|>": 50349,
|
| 1556 |
+
"<|mi|>": 50295,
|
| 1557 |
+
"<|mk|>": 50308,
|
| 1558 |
+
"<|ml|>": 50296,
|
| 1559 |
+
"<|mn|>": 50314,
|
| 1560 |
+
"<|mr|>": 50320,
|
| 1561 |
+
"<|ms|>": 50282,
|
| 1562 |
+
"<|mt|>": 50343,
|
| 1563 |
+
"<|my|>": 50346,
|
| 1564 |
+
"<|ne|>": 50313,
|
| 1565 |
+
"<|nl|>": 50271,
|
| 1566 |
+
"<|nn|>": 50342,
|
| 1567 |
+
"<|nocaptions|>": 50362,
|
| 1568 |
+
"<|notimestamps|>": 50363,
|
| 1569 |
+
"<|no|>": 50288,
|
| 1570 |
+
"<|oc|>": 50328,
|
| 1571 |
+
"<|pa|>": 50321,
|
| 1572 |
+
"<|pl|>": 50269,
|
| 1573 |
+
"<|ps|>": 50340,
|
| 1574 |
+
"<|pt|>": 50267,
|
| 1575 |
+
"<|ro|>": 50284,
|
| 1576 |
+
"<|ru|>": 50263,
|
| 1577 |
+
"<|sa|>": 50344,
|
| 1578 |
+
"<|sd|>": 50332,
|
| 1579 |
+
"<|si|>": 50322,
|
| 1580 |
+
"<|sk|>": 50298,
|
| 1581 |
+
"<|sl|>": 50305,
|
| 1582 |
+
"<|sn|>": 50324,
|
| 1583 |
+
"<|so|>": 50326,
|
| 1584 |
+
"<|sq|>": 50317,
|
| 1585 |
+
"<|sr|>": 50303,
|
| 1586 |
+
"<|startoflm|>": 50360,
|
| 1587 |
+
"<|startofprev|>": 50361,
|
| 1588 |
+
"<|startoftranscript|>": 50258,
|
| 1589 |
+
"<|su|>": 50357,
|
| 1590 |
+
"<|sv|>": 50273,
|
| 1591 |
+
"<|sw|>": 50318,
|
| 1592 |
+
"<|ta|>": 50287,
|
| 1593 |
+
"<|te|>": 50299,
|
| 1594 |
+
"<|tg|>": 50331,
|
| 1595 |
+
"<|th|>": 50289,
|
| 1596 |
+
"<|tk|>": 50341,
|
| 1597 |
+
"<|tl|>": 50348,
|
| 1598 |
+
"<|transcribe|>": 50359,
|
| 1599 |
+
"<|translate|>": 50358,
|
| 1600 |
+
"<|tr|>": 50268,
|
| 1601 |
+
"<|tt|>": 50351,
|
| 1602 |
+
"<|uk|>": 50280,
|
| 1603 |
+
"<|ur|>": 50290,
|
| 1604 |
+
"<|uz|>": 50337,
|
| 1605 |
+
"<|vi|>": 50278,
|
| 1606 |
+
"<|yi|>": 50335,
|
| 1607 |
+
"<|yo|>": 50325,
|
| 1608 |
+
"<|zh|>": 50260
|
| 1609 |
+
}
|
whisper_best_model/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/DATA_2/guest/custom-gopt/server_assets/models/whisper-base",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"activation_function": "gelu",
|
| 5 |
+
"apply_spec_augment": false,
|
| 6 |
+
"architectures": [
|
| 7 |
+
"WhisperForConditionalGeneration"
|
| 8 |
+
],
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"begin_suppress_tokens": null,
|
| 11 |
+
"bos_token_id": 50257,
|
| 12 |
+
"classifier_proj_size": 256,
|
| 13 |
+
"d_model": 512,
|
| 14 |
+
"decoder_attention_heads": 8,
|
| 15 |
+
"decoder_ffn_dim": 2048,
|
| 16 |
+
"decoder_layerdrop": 0.0,
|
| 17 |
+
"decoder_layers": 6,
|
| 18 |
+
"decoder_start_token_id": 50258,
|
| 19 |
+
"dropout": 0.0,
|
| 20 |
+
"dtype": "float32",
|
| 21 |
+
"encoder_attention_heads": 8,
|
| 22 |
+
"encoder_ffn_dim": 2048,
|
| 23 |
+
"encoder_layerdrop": 0.0,
|
| 24 |
+
"encoder_layers": 6,
|
| 25 |
+
"eos_token_id": 50257,
|
| 26 |
+
"forced_decoder_ids": [
|
| 27 |
+
[
|
| 28 |
+
1,
|
| 29 |
+
50259
|
| 30 |
+
],
|
| 31 |
+
[
|
| 32 |
+
2,
|
| 33 |
+
50359
|
| 34 |
+
],
|
| 35 |
+
[
|
| 36 |
+
3,
|
| 37 |
+
50363
|
| 38 |
+
]
|
| 39 |
+
],
|
| 40 |
+
"init_std": 0.02,
|
| 41 |
+
"is_encoder_decoder": true,
|
| 42 |
+
"mask_feature_length": 10,
|
| 43 |
+
"mask_feature_min_masks": 0,
|
| 44 |
+
"mask_feature_prob": 0.0,
|
| 45 |
+
"mask_time_length": 10,
|
| 46 |
+
"mask_time_min_masks": 2,
|
| 47 |
+
"mask_time_prob": 0.05,
|
| 48 |
+
"max_length": null,
|
| 49 |
+
"max_source_positions": 1500,
|
| 50 |
+
"max_target_positions": 448,
|
| 51 |
+
"median_filter_width": 7,
|
| 52 |
+
"model_type": "whisper",
|
| 53 |
+
"num_hidden_layers": 6,
|
| 54 |
+
"num_mel_bins": 80,
|
| 55 |
+
"pad_token_id": 50257,
|
| 56 |
+
"scale_embedding": false,
|
| 57 |
+
"torch_dtype": "float32",
|
| 58 |
+
"transformers_version": "4.46.3",
|
| 59 |
+
"use_cache": true,
|
| 60 |
+
"use_weighted_layer_sum": false,
|
| 61 |
+
"vocab_size": 51865
|
| 62 |
+
}
|
whisper_best_model/eval_preview.json
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"reference": "mark is going to see elephant",
|
| 4 |
+
"prediction": "mark is going to see elephant"
|
| 5 |
+
},
|
| 6 |
+
{
|
| 7 |
+
"reference": "kate loves china",
|
| 8 |
+
"prediction": "kate loves china"
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"reference": "two six four eight",
|
| 12 |
+
"prediction": " two six four eight"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"reference": "seven three four two",
|
| 16 |
+
"prediction": " seven three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four two three four"
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"reference": "two eight nine one",
|
| 20 |
+
"prediction": " two eight nine one two three four five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five five"
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"reference": "one zero one zero",
|
| 24 |
+
"prediction": " one zero one zero"
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"reference": "two five nine nine",
|
| 28 |
+
"prediction": "two five nine nine two five nine nine two five nine nine two five nine nine two five nine nine two five nine nine two five nine nine two five nine nine two five nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine nine"
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"reference": "tomato spring photo",
|
| 32 |
+
"prediction": "to measure spring photo"
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"reference": "layla is good at swimming",
|
| 36 |
+
"prediction": "layla is good at swimming"
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"reference": "alice give up boxing",
|
| 40 |
+
"prediction": " Alice give a boxing."
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"reference": "layla wants have some salad",
|
| 44 |
+
"prediction": "lilla wants have some salad"
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"reference": "does he know the biscuit",
|
| 48 |
+
"prediction": "does he know the biscuit?"
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"reference": "here is time's cloth",
|
| 52 |
+
"prediction": "here is tim's clothes"
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"reference": "look at bob's t shirt",
|
| 56 |
+
"prediction": "look at buff's t shirt"
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"reference": "so billy went into the pet shop",
|
| 60 |
+
"prediction": "so a bee went into the pet shop and she was so happy to see her dog again she was so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog again so happy to see her dog"
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"reference": "so tina went into the washroom",
|
| 64 |
+
"prediction": "satina went into the washroom"
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"reference": "billy lived in new york",
|
| 68 |
+
"prediction": "billy lived in new york"
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"reference": "more than that",
|
| 72 |
+
"prediction": "more than that"
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"reference": "my map will show us",
|
| 76 |
+
"prediction": "my map will show us"
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"reference": "yummy",
|
| 80 |
+
"prediction": " let me know what you think of it in the comments below if you have any questions or questions please leave a comment below if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment if you have any questions please leave a comment"
|
| 81 |
+
}
|
| 82 |
+
]
|
whisper_best_model/generation_config.json
ADDED
|
@@ -0,0 +1,260 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alignment_heads": [
|
| 3 |
+
[
|
| 4 |
+
3,
|
| 5 |
+
1
|
| 6 |
+
],
|
| 7 |
+
[
|
| 8 |
+
4,
|
| 9 |
+
2
|
| 10 |
+
],
|
| 11 |
+
[
|
| 12 |
+
4,
|
| 13 |
+
3
|
| 14 |
+
],
|
| 15 |
+
[
|
| 16 |
+
4,
|
| 17 |
+
7
|
| 18 |
+
],
|
| 19 |
+
[
|
| 20 |
+
5,
|
| 21 |
+
1
|
| 22 |
+
],
|
| 23 |
+
[
|
| 24 |
+
5,
|
| 25 |
+
2
|
| 26 |
+
],
|
| 27 |
+
[
|
| 28 |
+
5,
|
| 29 |
+
4
|
| 30 |
+
],
|
| 31 |
+
[
|
| 32 |
+
5,
|
| 33 |
+
6
|
| 34 |
+
]
|
| 35 |
+
],
|
| 36 |
+
"begin_suppress_tokens": [
|
| 37 |
+
220,
|
| 38 |
+
50257
|
| 39 |
+
],
|
| 40 |
+
"bos_token_id": 50257,
|
| 41 |
+
"decoder_start_token_id": 50258,
|
| 42 |
+
"eos_token_id": 50257,
|
| 43 |
+
"forced_decoder_ids": [
|
| 44 |
+
[
|
| 45 |
+
1,
|
| 46 |
+
50259
|
| 47 |
+
],
|
| 48 |
+
[
|
| 49 |
+
2,
|
| 50 |
+
50359
|
| 51 |
+
],
|
| 52 |
+
[
|
| 53 |
+
3,
|
| 54 |
+
50363
|
| 55 |
+
]
|
| 56 |
+
],
|
| 57 |
+
"is_multilingual": true,
|
| 58 |
+
"lang_to_id": {
|
| 59 |
+
"<|af|>": 50327,
|
| 60 |
+
"<|am|>": 50334,
|
| 61 |
+
"<|ar|>": 50272,
|
| 62 |
+
"<|as|>": 50350,
|
| 63 |
+
"<|az|>": 50304,
|
| 64 |
+
"<|ba|>": 50355,
|
| 65 |
+
"<|be|>": 50330,
|
| 66 |
+
"<|bg|>": 50292,
|
| 67 |
+
"<|bn|>": 50302,
|
| 68 |
+
"<|bo|>": 50347,
|
| 69 |
+
"<|br|>": 50309,
|
| 70 |
+
"<|bs|>": 50315,
|
| 71 |
+
"<|ca|>": 50270,
|
| 72 |
+
"<|cs|>": 50283,
|
| 73 |
+
"<|cy|>": 50297,
|
| 74 |
+
"<|da|>": 50285,
|
| 75 |
+
"<|de|>": 50261,
|
| 76 |
+
"<|el|>": 50281,
|
| 77 |
+
"<|en|>": 50259,
|
| 78 |
+
"<|es|>": 50262,
|
| 79 |
+
"<|et|>": 50307,
|
| 80 |
+
"<|eu|>": 50310,
|
| 81 |
+
"<|fa|>": 50300,
|
| 82 |
+
"<|fi|>": 50277,
|
| 83 |
+
"<|fo|>": 50338,
|
| 84 |
+
"<|fr|>": 50265,
|
| 85 |
+
"<|gl|>": 50319,
|
| 86 |
+
"<|gu|>": 50333,
|
| 87 |
+
"<|haw|>": 50352,
|
| 88 |
+
"<|ha|>": 50354,
|
| 89 |
+
"<|he|>": 50279,
|
| 90 |
+
"<|hi|>": 50276,
|
| 91 |
+
"<|hr|>": 50291,
|
| 92 |
+
"<|ht|>": 50339,
|
| 93 |
+
"<|hu|>": 50286,
|
| 94 |
+
"<|hy|>": 50312,
|
| 95 |
+
"<|id|>": 50275,
|
| 96 |
+
"<|is|>": 50311,
|
| 97 |
+
"<|it|>": 50274,
|
| 98 |
+
"<|ja|>": 50266,
|
| 99 |
+
"<|jw|>": 50356,
|
| 100 |
+
"<|ka|>": 50329,
|
| 101 |
+
"<|kk|>": 50316,
|
| 102 |
+
"<|km|>": 50323,
|
| 103 |
+
"<|kn|>": 50306,
|
| 104 |
+
"<|ko|>": 50264,
|
| 105 |
+
"<|la|>": 50294,
|
| 106 |
+
"<|lb|>": 50345,
|
| 107 |
+
"<|ln|>": 50353,
|
| 108 |
+
"<|lo|>": 50336,
|
| 109 |
+
"<|lt|>": 50293,
|
| 110 |
+
"<|lv|>": 50301,
|
| 111 |
+
"<|mg|>": 50349,
|
| 112 |
+
"<|mi|>": 50295,
|
| 113 |
+
"<|mk|>": 50308,
|
| 114 |
+
"<|ml|>": 50296,
|
| 115 |
+
"<|mn|>": 50314,
|
| 116 |
+
"<|mr|>": 50320,
|
| 117 |
+
"<|ms|>": 50282,
|
| 118 |
+
"<|mt|>": 50343,
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
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|
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|
| 129 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
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|
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|
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|
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|
| 158 |
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|
whisper_best_model/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
whisper_best_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:8917c9612b44f73bb5ef2ffec48cf44a4ee0dfa5a94af25e9e6710b9fd66a17f
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| 3 |
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size 290403936
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whisper_best_model/normalizer.json
ADDED
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@@ -0,0 +1,1742 @@
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|
| 1 |
+
{
|
| 2 |
+
"accessorise": "accessorize",
|
| 3 |
+
"accessorised": "accessorized",
|
| 4 |
+
"accessorises": "accessorizes",
|
| 5 |
+
"accessorising": "accessorizing",
|
| 6 |
+
"acclimatisation": "acclimatization",
|
| 7 |
+
"acclimatise": "acclimatize",
|
| 8 |
+
"acclimatised": "acclimatized",
|
| 9 |
+
"acclimatises": "acclimatizes",
|
| 10 |
+
"acclimatising": "acclimatizing",
|
| 11 |
+
"accoutrements": "accouterments",
|
| 12 |
+
"aeon": "eon",
|
| 13 |
+
"aeons": "eons",
|
| 14 |
+
"aerogramme": "aerogram",
|
| 15 |
+
"aerogrammes": "aerograms",
|
| 16 |
+
"aeroplane": "airplane",
|
| 17 |
+
"aeroplanes": "airplanes",
|
| 18 |
+
"aesthete": "esthete",
|
| 19 |
+
"aesthetes": "esthetes",
|
| 20 |
+
"aesthetic": "esthetic",
|
| 21 |
+
"aesthetically": "esthetically",
|
| 22 |
+
"aesthetics": "esthetics",
|
| 23 |
+
"aetiology": "etiology",
|
| 24 |
+
"ageing": "aging",
|
| 25 |
+
"aggrandisement": "aggrandizement",
|
| 26 |
+
"agonise": "agonize",
|
| 27 |
+
"agonised": "agonized",
|
| 28 |
+
"agonises": "agonizes",
|
| 29 |
+
"agonising": "agonizing",
|
| 30 |
+
"agonisingly": "agonizingly",
|
| 31 |
+
"almanack": "almanac",
|
| 32 |
+
"almanacks": "almanacs",
|
| 33 |
+
"aluminium": "aluminum",
|
| 34 |
+
"amortisable": "amortizable",
|
| 35 |
+
"amortisation": "amortization",
|
| 36 |
+
"amortisations": "amortizations",
|
| 37 |
+
"amortise": "amortize",
|
| 38 |
+
"amortised": "amortized",
|
| 39 |
+
"amortises": "amortizes",
|
| 40 |
+
"amortising": "amortizing",
|
| 41 |
+
"amphitheatre": "amphitheater",
|
| 42 |
+
"amphitheatres": "amphitheaters",
|
| 43 |
+
"anaemia": "anemia",
|
| 44 |
+
"anaemic": "anemic",
|
| 45 |
+
"anaesthesia": "anesthesia",
|
| 46 |
+
"anaesthetic": "anesthetic",
|
| 47 |
+
"anaesthetics": "anesthetics",
|
| 48 |
+
"anaesthetise": "anesthetize",
|
| 49 |
+
"anaesthetised": "anesthetized",
|
| 50 |
+
"anaesthetises": "anesthetizes",
|
| 51 |
+
"anaesthetising": "anesthetizing",
|
| 52 |
+
"anaesthetist": "anesthetist",
|
| 53 |
+
"anaesthetists": "anesthetists",
|
| 54 |
+
"anaesthetize": "anesthetize",
|
| 55 |
+
"anaesthetized": "anesthetized",
|
| 56 |
+
"anaesthetizes": "anesthetizes",
|
| 57 |
+
"anaesthetizing": "anesthetizing",
|
| 58 |
+
"analogue": "analog",
|
| 59 |
+
"analogues": "analogs",
|
| 60 |
+
"analyse": "analyze",
|
| 61 |
+
"analysed": "analyzed",
|
| 62 |
+
"analyses": "analyzes",
|
| 63 |
+
"analysing": "analyzing",
|
| 64 |
+
"anglicise": "anglicize",
|
| 65 |
+
"anglicised": "anglicized",
|
| 66 |
+
"anglicises": "anglicizes",
|
| 67 |
+
"anglicising": "anglicizing",
|
| 68 |
+
"annualised": "annualized",
|
| 69 |
+
"antagonise": "antagonize",
|
| 70 |
+
"antagonised": "antagonized",
|
| 71 |
+
"antagonises": "antagonizes",
|
| 72 |
+
"antagonising": "antagonizing",
|
| 73 |
+
"apologise": "apologize",
|
| 74 |
+
"apologised": "apologized",
|
| 75 |
+
"apologises": "apologizes",
|
| 76 |
+
"apologising": "apologizing",
|
| 77 |
+
"appal": "appall",
|
| 78 |
+
"appals": "appalls",
|
| 79 |
+
"appetiser": "appetizer",
|
| 80 |
+
"appetisers": "appetizers",
|
| 81 |
+
"appetising": "appetizing",
|
| 82 |
+
"appetisingly": "appetizingly",
|
| 83 |
+
"arbour": "arbor",
|
| 84 |
+
"arbours": "arbors",
|
| 85 |
+
"archaeologically": "archeologically",
|
| 86 |
+
"archaeologist": "archeologist",
|
| 87 |
+
"archaeologists": "archeologists",
|
| 88 |
+
"archaeology": "archeology</span>",
|
| 89 |
+
"archeological": "archaeological",
|
| 90 |
+
"ardour": "ardor",
|
| 91 |
+
"armour": "armor",
|
| 92 |
+
"armoured": "armored",
|
| 93 |
+
"armourer": "armorer",
|
| 94 |
+
"armourers": "armorers",
|
| 95 |
+
"armouries": "armories",
|
| 96 |
+
"armoury": "armory",
|
| 97 |
+
"artefact": "artifact",
|
| 98 |
+
"artefacts": "artifacts",
|
| 99 |
+
"authorise": "authorize",
|
| 100 |
+
"authorised": "authorized",
|
| 101 |
+
"authorises": "authorizes",
|
| 102 |
+
"authorising": "authorizing",
|
| 103 |
+
"axe": "ax",
|
| 104 |
+
"backpedalled": "backpedaled",
|
| 105 |
+
"backpedalling": "backpedaling",
|
| 106 |
+
"bannister": "banister",
|
| 107 |
+
"bannisters": "banisters",
|
| 108 |
+
"baptise": "baptize",
|
| 109 |
+
"baptised": "baptized",
|
| 110 |
+
"baptises": "baptizes",
|
| 111 |
+
"baptising": "baptizing",
|
| 112 |
+
"bastardise": "bastardize",
|
| 113 |
+
"bastardised": "bastardized",
|
| 114 |
+
"bastardises": "bastardizes",
|
| 115 |
+
"bastardising": "bastardizing",
|
| 116 |
+
"battleax": "battleaxe",
|
| 117 |
+
"baulk": "balk",
|
| 118 |
+
"baulked": "balked",
|
| 119 |
+
"baulking": "balking",
|
| 120 |
+
"baulks": "balks",
|
| 121 |
+
"bedevilled": "bedeviled",
|
| 122 |
+
"bedevilling": "bedeviling",
|
| 123 |
+
"behaviour": "behavior",
|
| 124 |
+
"behavioural": "behavioral",
|
| 125 |
+
"behaviourism": "behaviorism",
|
| 126 |
+
"behaviourist": "behaviorist",
|
| 127 |
+
"behaviourists": "behaviorists",
|
| 128 |
+
"behaviours": "behaviors",
|
| 129 |
+
"behove": "behoove",
|
| 130 |
+
"behoved": "behooved",
|
| 131 |
+
"behoves": "behooves",
|
| 132 |
+
"bejewelled": "bejeweled",
|
| 133 |
+
"belabour": "belabor",
|
| 134 |
+
"belaboured": "belabored",
|
| 135 |
+
"belabouring": "belaboring",
|
| 136 |
+
"belabours": "belabors",
|
| 137 |
+
"bevelled": "beveled",
|
| 138 |
+
"bevvies": "bevies",
|
| 139 |
+
"bevvy": "bevy",
|
| 140 |
+
"biassed": "biased",
|
| 141 |
+
"biassing": "biasing",
|
| 142 |
+
"bingeing": "binging",
|
| 143 |
+
"bougainvillaea": "bougainvillea",
|
| 144 |
+
"bougainvillaeas": "bougainvilleas",
|
| 145 |
+
"bowdlerise": "bowdlerize",
|
| 146 |
+
"bowdlerised": "bowdlerized",
|
| 147 |
+
"bowdlerises": "bowdlerizes",
|
| 148 |
+
"bowdlerising": "bowdlerizing",
|
| 149 |
+
"breathalyse": "breathalyze",
|
| 150 |
+
"breathalysed": "breathalyzed",
|
| 151 |
+
"breathalyser": "breathalyzer",
|
| 152 |
+
"breathalysers": "breathalyzers",
|
| 153 |
+
"breathalyses": "breathalyzes",
|
| 154 |
+
"breathalysing": "breathalyzing",
|
| 155 |
+
"brutalise": "brutalize",
|
| 156 |
+
"brutalised": "brutalized",
|
| 157 |
+
"brutalises": "brutalizes",
|
| 158 |
+
"brutalising": "brutalizing",
|
| 159 |
+
"busses": "buses",
|
| 160 |
+
"bussing": "busing",
|
| 161 |
+
"caesarean": "cesarean",
|
| 162 |
+
"caesareans": "cesareans",
|
| 163 |
+
"calibre": "caliber",
|
| 164 |
+
"calibres": "calibers",
|
| 165 |
+
"calliper": "caliper",
|
| 166 |
+
"callipers": "calipers",
|
| 167 |
+
"callisthenics": "calisthenics",
|
| 168 |
+
"canalise": "canalize",
|
| 169 |
+
"canalised": "canalized",
|
| 170 |
+
"canalises": "canalizes",
|
| 171 |
+
"canalising": "canalizing",
|
| 172 |
+
"cancelation": "cancellation",
|
| 173 |
+
"cancelations": "cancellations",
|
| 174 |
+
"cancelled": "canceled",
|
| 175 |
+
"cancelling": "canceling",
|
| 176 |
+
"candour": "candor",
|
| 177 |
+
"cannibalise": "cannibalize",
|
| 178 |
+
"cannibalised": "cannibalized",
|
| 179 |
+
"cannibalises": "cannibalizes",
|
| 180 |
+
"cannibalising": "cannibalizing",
|
| 181 |
+
"canonise": "canonize",
|
| 182 |
+
"canonised": "canonized",
|
| 183 |
+
"canonises": "canonizes",
|
| 184 |
+
"canonising": "canonizing",
|
| 185 |
+
"capitalise": "capitalize",
|
| 186 |
+
"capitalised": "capitalized",
|
| 187 |
+
"capitalises": "capitalizes",
|
| 188 |
+
"capitalising": "capitalizing",
|
| 189 |
+
"caramelise": "caramelize",
|
| 190 |
+
"caramelised": "caramelized",
|
| 191 |
+
"caramelises": "caramelizes",
|
| 192 |
+
"caramelising": "caramelizing",
|
| 193 |
+
"carbonise": "carbonize",
|
| 194 |
+
"carbonised": "carbonized",
|
| 195 |
+
"carbonises": "carbonizes",
|
| 196 |
+
"carbonising": "carbonizing",
|
| 197 |
+
"carolled": "caroled",
|
| 198 |
+
"carolling": "caroling",
|
| 199 |
+
"catalogue": "catalog",
|
| 200 |
+
"catalogued": "cataloged",
|
| 201 |
+
"catalogues": "catalogs",
|
| 202 |
+
"cataloguing": "cataloging",
|
| 203 |
+
"catalyse": "catalyze",
|
| 204 |
+
"catalysed": "catalyzed",
|
| 205 |
+
"catalyses": "catalyzes",
|
| 206 |
+
"catalysing": "catalyzing",
|
| 207 |
+
"categorise": "categorize",
|
| 208 |
+
"categorised": "categorized",
|
| 209 |
+
"categorises": "categorizes",
|
| 210 |
+
"categorising": "categorizing",
|
| 211 |
+
"cauterise": "cauterize",
|
| 212 |
+
"cauterised": "cauterized",
|
| 213 |
+
"cauterises": "cauterizes",
|
| 214 |
+
"cauterising": "cauterizing",
|
| 215 |
+
"cavilled": "caviled",
|
| 216 |
+
"cavilling": "caviling",
|
| 217 |
+
"centigramme": "centigram",
|
| 218 |
+
"centigrammes": "centigrams",
|
| 219 |
+
"centilitre": "centiliter",
|
| 220 |
+
"centilitres": "centiliters",
|
| 221 |
+
"centimetre": "centimeter",
|
| 222 |
+
"centimetres": "centimeters",
|
| 223 |
+
"centralise": "centralize",
|
| 224 |
+
"centralised": "centralized",
|
| 225 |
+
"centralises": "centralizes",
|
| 226 |
+
"centralising": "centralizing",
|
| 227 |
+
"centre": "center",
|
| 228 |
+
"centred": "centered",
|
| 229 |
+
"centrefold": "centerfold",
|
| 230 |
+
"centrefolds": "centerfolds",
|
| 231 |
+
"centrepiece": "centerpiece",
|
| 232 |
+
"centrepieces": "centerpieces",
|
| 233 |
+
"centres": "centers",
|
| 234 |
+
"channelled": "channeled",
|
| 235 |
+
"channelling": "channeling",
|
| 236 |
+
"characterise": "characterize",
|
| 237 |
+
"characterised": "characterized",
|
| 238 |
+
"characterises": "characterizes",
|
| 239 |
+
"characterising": "characterizing",
|
| 240 |
+
"cheque": "check",
|
| 241 |
+
"chequebook": "checkbook",
|
| 242 |
+
"chequebooks": "checkbooks",
|
| 243 |
+
"chequered": "checkered",
|
| 244 |
+
"cheques": "checks",
|
| 245 |
+
"chilli": "chili",
|
| 246 |
+
"chimaera": "chimera",
|
| 247 |
+
"chimaeras": "chimeras",
|
| 248 |
+
"chiselled": "chiseled",
|
| 249 |
+
"chiselling": "chiseling",
|
| 250 |
+
"circularise": "circularize",
|
| 251 |
+
"circularised": "circularized",
|
| 252 |
+
"circularises": "circularizes",
|
| 253 |
+
"circularising": "circularizing",
|
| 254 |
+
"civilise": "civilize",
|
| 255 |
+
"civilised": "civilized",
|
| 256 |
+
"civilises": "civilizes",
|
| 257 |
+
"civilising": "civilizing",
|
| 258 |
+
"clamour": "clamor",
|
| 259 |
+
"clamoured": "clamored",
|
| 260 |
+
"clamouring": "clamoring",
|
| 261 |
+
"clamours": "clamors",
|
| 262 |
+
"clangour": "clangor",
|
| 263 |
+
"clarinettist": "clarinetist",
|
| 264 |
+
"clarinettists": "clarinetists",
|
| 265 |
+
"collectivise": "collectivize",
|
| 266 |
+
"collectivised": "collectivized",
|
| 267 |
+
"collectivises": "collectivizes",
|
| 268 |
+
"collectivising": "collectivizing",
|
| 269 |
+
"colonisation": "colonization",
|
| 270 |
+
"colonise": "colonize",
|
| 271 |
+
"colonised": "colonized",
|
| 272 |
+
"coloniser": "colonizer",
|
| 273 |
+
"colonisers": "colonizers",
|
| 274 |
+
"colonises": "colonizes",
|
| 275 |
+
"colonising": "colonizing",
|
| 276 |
+
"colour": "color",
|
| 277 |
+
"colourant": "colorant",
|
| 278 |
+
"colourants": "colorants",
|
| 279 |
+
"coloured": "colored",
|
| 280 |
+
"coloureds": "coloreds",
|
| 281 |
+
"colourful": "colorful",
|
| 282 |
+
"colourfully": "colorfully",
|
| 283 |
+
"colouring": "coloring",
|
| 284 |
+
"colourize": "colorize",
|
| 285 |
+
"colourized": "colorized",
|
| 286 |
+
"colourizes": "colorizes",
|
| 287 |
+
"colourizing": "colorizing",
|
| 288 |
+
"colourless": "colorless",
|
| 289 |
+
"colours": "colors",
|
| 290 |
+
"commercialise": "commercialize",
|
| 291 |
+
"commercialised": "commercialized",
|
| 292 |
+
"commercialises": "commercializes",
|
| 293 |
+
"commercialising": "commercializing",
|
| 294 |
+
"compartmentalise": "compartmentalize",
|
| 295 |
+
"compartmentalised": "compartmentalized",
|
| 296 |
+
"compartmentalises": "compartmentalizes",
|
| 297 |
+
"compartmentalising": "compartmentalizing",
|
| 298 |
+
"computerise": "computerize",
|
| 299 |
+
"computerised": "computerized",
|
| 300 |
+
"computerises": "computerizes",
|
| 301 |
+
"computerising": "computerizing",
|
| 302 |
+
"conceptualise": "conceptualize",
|
| 303 |
+
"conceptualised": "conceptualized",
|
| 304 |
+
"conceptualises": "conceptualizes",
|
| 305 |
+
"conceptualising": "conceptualizing",
|
| 306 |
+
"connexion": "connection",
|
| 307 |
+
"connexions": "connections",
|
| 308 |
+
"contextualise": "contextualize",
|
| 309 |
+
"contextualised": "contextualized",
|
| 310 |
+
"contextualises": "contextualizes",
|
| 311 |
+
"contextualising": "contextualizing",
|
| 312 |
+
"cosier": "cozier",
|
| 313 |
+
"cosies": "cozies",
|
| 314 |
+
"cosiest": "coziest",
|
| 315 |
+
"cosily": "cozily",
|
| 316 |
+
"cosiness": "coziness",
|
| 317 |
+
"cosy": "cozy",
|
| 318 |
+
"councillor": "councilor",
|
| 319 |
+
"councillors": "councilors",
|
| 320 |
+
"counselled": "counseled",
|
| 321 |
+
"counselling": "counseling",
|
| 322 |
+
"counsellor": "counselor",
|
| 323 |
+
"counsellors": "counselors",
|
| 324 |
+
"crenelated": "crenellated",
|
| 325 |
+
"criminalise": "criminalize",
|
| 326 |
+
"criminalised": "criminalized",
|
| 327 |
+
"criminalises": "criminalizes",
|
| 328 |
+
"criminalising": "criminalizing",
|
| 329 |
+
"criticise": "criticize",
|
| 330 |
+
"criticised": "criticized",
|
| 331 |
+
"criticises": "criticizes",
|
| 332 |
+
"criticising": "criticizing",
|
| 333 |
+
"crueller": "crueler",
|
| 334 |
+
"cruellest": "cruelest",
|
| 335 |
+
"crystallisation": "crystallization",
|
| 336 |
+
"crystallise": "crystallize",
|
| 337 |
+
"crystallised": "crystallized",
|
| 338 |
+
"crystallises": "crystallizes",
|
| 339 |
+
"crystallising": "crystallizing",
|
| 340 |
+
"cudgelled": "cudgeled",
|
| 341 |
+
"cudgelling": "cudgeling",
|
| 342 |
+
"customise": "customize",
|
| 343 |
+
"customised": "customized",
|
| 344 |
+
"customises": "customizes",
|
| 345 |
+
"customising": "customizing",
|
| 346 |
+
"cypher": "cipher",
|
| 347 |
+
"cyphers": "ciphers",
|
| 348 |
+
"decentralisation": "decentralization",
|
| 349 |
+
"decentralise": "decentralize",
|
| 350 |
+
"decentralised": "decentralized",
|
| 351 |
+
"decentralises": "decentralizes",
|
| 352 |
+
"decentralising": "decentralizing",
|
| 353 |
+
"decriminalisation": "decriminalization",
|
| 354 |
+
"decriminalise": "decriminalize",
|
| 355 |
+
"decriminalised": "decriminalized",
|
| 356 |
+
"decriminalises": "decriminalizes",
|
| 357 |
+
"decriminalising": "decriminalizing",
|
| 358 |
+
"defence": "defense",
|
| 359 |
+
"defenceless": "defenseless",
|
| 360 |
+
"defences": "defenses",
|
| 361 |
+
"dehumanisation": "dehumanization",
|
| 362 |
+
"dehumanise": "dehumanize",
|
| 363 |
+
"dehumanised": "dehumanized",
|
| 364 |
+
"dehumanises": "dehumanizes",
|
| 365 |
+
"dehumanising": "dehumanizing",
|
| 366 |
+
"demeanour": "demeanor",
|
| 367 |
+
"demilitarisation": "demilitarization",
|
| 368 |
+
"demilitarise": "demilitarize",
|
| 369 |
+
"demilitarised": "demilitarized",
|
| 370 |
+
"demilitarises": "demilitarizes",
|
| 371 |
+
"demilitarising": "demilitarizing",
|
| 372 |
+
"demobilisation": "demobilization",
|
| 373 |
+
"demobilise": "demobilize",
|
| 374 |
+
"demobilised": "demobilized",
|
| 375 |
+
"demobilises": "demobilizes",
|
| 376 |
+
"demobilising": "demobilizing",
|
| 377 |
+
"democratisation": "democratization",
|
| 378 |
+
"democratise": "democratize",
|
| 379 |
+
"democratised": "democratized",
|
| 380 |
+
"democratises": "democratizes",
|
| 381 |
+
"democratising": "democratizing",
|
| 382 |
+
"demonise": "demonize",
|
| 383 |
+
"demonised": "demonized",
|
| 384 |
+
"demonises": "demonizes",
|
| 385 |
+
"demonising": "demonizing",
|
| 386 |
+
"demoralisation": "demoralization",
|
| 387 |
+
"demoralise": "demoralize",
|
| 388 |
+
"demoralised": "demoralized",
|
| 389 |
+
"demoralises": "demoralizes",
|
| 390 |
+
"demoralising": "demoralizing",
|
| 391 |
+
"denationalisation": "denationalization",
|
| 392 |
+
"denationalise": "denationalize",
|
| 393 |
+
"denationalised": "denationalized",
|
| 394 |
+
"denationalises": "denationalizes",
|
| 395 |
+
"denationalising": "denationalizing",
|
| 396 |
+
"deodorise": "deodorize",
|
| 397 |
+
"deodorised": "deodorized",
|
| 398 |
+
"deodorises": "deodorizes",
|
| 399 |
+
"deodorising": "deodorizing",
|
| 400 |
+
"depersonalise": "depersonalize",
|
| 401 |
+
"depersonalised": "depersonalized",
|
| 402 |
+
"depersonalises": "depersonalizes",
|
| 403 |
+
"depersonalising": "depersonalizing",
|
| 404 |
+
"deputise": "deputize",
|
| 405 |
+
"deputised": "deputized",
|
| 406 |
+
"deputises": "deputizes",
|
| 407 |
+
"deputising": "deputizing",
|
| 408 |
+
"desensitisation": "desensitization",
|
| 409 |
+
"desensitise": "desensitize",
|
| 410 |
+
"desensitised": "desensitized",
|
| 411 |
+
"desensitises": "desensitizes",
|
| 412 |
+
"desensitising": "desensitizing",
|
| 413 |
+
"destabilisation": "destabilization",
|
| 414 |
+
"destabilise": "destabilize",
|
| 415 |
+
"destabilised": "destabilized",
|
| 416 |
+
"destabilises": "destabilizes",
|
| 417 |
+
"destabilising": "destabilizing",
|
| 418 |
+
"dialled": "dialed",
|
| 419 |
+
"dialling": "dialing",
|
| 420 |
+
"dialogue": "dialog",
|
| 421 |
+
"dialogues": "dialogs",
|
| 422 |
+
"diarrhoea": "diarrhea",
|
| 423 |
+
"digitise": "digitize",
|
| 424 |
+
"digitised": "digitized",
|
| 425 |
+
"digitises": "digitizes",
|
| 426 |
+
"digitising": "digitizing",
|
| 427 |
+
"disc": "disk",
|
| 428 |
+
"discolour": "discolor",
|
| 429 |
+
"discoloured": "discolored",
|
| 430 |
+
"discolouring": "discoloring",
|
| 431 |
+
"discolours": "discolors",
|
| 432 |
+
"discs": "disks",
|
| 433 |
+
"disembowelled": "disemboweled",
|
| 434 |
+
"disembowelling": "disemboweling",
|
| 435 |
+
"disfavour": "disfavor",
|
| 436 |
+
"dishevelled": "disheveled",
|
| 437 |
+
"dishonour": "dishonor",
|
| 438 |
+
"dishonourable": "dishonorable",
|
| 439 |
+
"dishonourably": "dishonorably",
|
| 440 |
+
"dishonoured": "dishonored",
|
| 441 |
+
"dishonouring": "dishonoring",
|
| 442 |
+
"dishonours": "dishonors",
|
| 443 |
+
"disorganisation": "disorganization",
|
| 444 |
+
"disorganised": "disorganized",
|
| 445 |
+
"distil": "distill",
|
| 446 |
+
"distils": "distills",
|
| 447 |
+
"dramatisation": "dramatization",
|
| 448 |
+
"dramatisations": "dramatizations",
|
| 449 |
+
"dramatise": "dramatize",
|
| 450 |
+
"dramatised": "dramatized",
|
| 451 |
+
"dramatises": "dramatizes",
|
| 452 |
+
"dramatising": "dramatizing",
|
| 453 |
+
"draught": "draft",
|
| 454 |
+
"draughtboard": "draftboard",
|
| 455 |
+
"draughtboards": "draftboards",
|
| 456 |
+
"draughtier": "draftier",
|
| 457 |
+
"draughtiest": "draftiest",
|
| 458 |
+
"draughts": "drafts",
|
| 459 |
+
"draughtsman": "draftsman",
|
| 460 |
+
"draughtsmanship": "draftsmanship",
|
| 461 |
+
"draughtsmen": "draftsmen",
|
| 462 |
+
"draughtswoman": "draftswoman",
|
| 463 |
+
"draughtswomen": "draftswomen",
|
| 464 |
+
"draughty": "drafty",
|
| 465 |
+
"drivelled": "driveled",
|
| 466 |
+
"drivelling": "driveling",
|
| 467 |
+
"duelled": "dueled",
|
| 468 |
+
"duelling": "dueling",
|
| 469 |
+
"economise": "economize",
|
| 470 |
+
"economised": "economized",
|
| 471 |
+
"economises": "economizes",
|
| 472 |
+
"economising": "economizing",
|
| 473 |
+
"editorialise": "editorialize",
|
| 474 |
+
"editorialised": "editorialized",
|
| 475 |
+
"editorialises": "editorializes",
|
| 476 |
+
"editorialising": "editorializing",
|
| 477 |
+
"edoema": "edema",
|
| 478 |
+
"empathise": "empathize",
|
| 479 |
+
"empathised": "empathized",
|
| 480 |
+
"empathises": "empathizes",
|
| 481 |
+
"empathising": "empathizing",
|
| 482 |
+
"emphasise": "emphasize",
|
| 483 |
+
"emphasised": "emphasized",
|
| 484 |
+
"emphasises": "emphasizes",
|
| 485 |
+
"emphasising": "emphasizing",
|
| 486 |
+
"enamelled": "enameled",
|
| 487 |
+
"enamelling": "enameling",
|
| 488 |
+
"enamoured": "enamored",
|
| 489 |
+
"encyclopaedia": "encyclopedia",
|
| 490 |
+
"encyclopaedias": "encyclopedias",
|
| 491 |
+
"encyclopaedic": "encyclopedic",
|
| 492 |
+
"endeavour": "endeavor",
|
| 493 |
+
"endeavoured": "endeavored",
|
| 494 |
+
"endeavouring": "endeavoring",
|
| 495 |
+
"endeavours": "endeavors",
|
| 496 |
+
"energise": "energize",
|
| 497 |
+
"energised": "energized",
|
| 498 |
+
"energises": "energizes",
|
| 499 |
+
"energising": "energizing",
|
| 500 |
+
"enrol": "enroll",
|
| 501 |
+
"enrols": "enrolls",
|
| 502 |
+
"enthral": "enthrall",
|
| 503 |
+
"enthrals": "enthralls",
|
| 504 |
+
"epaulette": "epaulet",
|
| 505 |
+
"epaulettes": "epaulets",
|
| 506 |
+
"epicentre": "epicenter",
|
| 507 |
+
"epicentres": "epicenters",
|
| 508 |
+
"epilogue": "epilog",
|
| 509 |
+
"epilogues": "epilogs",
|
| 510 |
+
"epitomise": "epitomize",
|
| 511 |
+
"epitomised": "epitomized",
|
| 512 |
+
"epitomises": "epitomizes",
|
| 513 |
+
"epitomising": "epitomizing",
|
| 514 |
+
"equalisation": "equalization",
|
| 515 |
+
"equalise": "equalize",
|
| 516 |
+
"equalised": "equalized",
|
| 517 |
+
"equaliser": "equalizer",
|
| 518 |
+
"equalisers": "equalizers",
|
| 519 |
+
"equalises": "equalizes",
|
| 520 |
+
"equalising": "equalizing",
|
| 521 |
+
"eulogise": "eulogize",
|
| 522 |
+
"eulogised": "eulogized",
|
| 523 |
+
"eulogises": "eulogizes",
|
| 524 |
+
"eulogising": "eulogizing",
|
| 525 |
+
"evangelise": "evangelize",
|
| 526 |
+
"evangelised": "evangelized",
|
| 527 |
+
"evangelises": "evangelizes",
|
| 528 |
+
"evangelising": "evangelizing",
|
| 529 |
+
"exorcise": "exorcize",
|
| 530 |
+
"exorcised": "exorcized",
|
| 531 |
+
"exorcises": "exorcizes",
|
| 532 |
+
"exorcising": "exorcizing",
|
| 533 |
+
"extemporisation": "extemporization",
|
| 534 |
+
"extemporise": "extemporize",
|
| 535 |
+
"extemporised": "extemporized",
|
| 536 |
+
"extemporises": "extemporizes",
|
| 537 |
+
"extemporising": "extemporizing",
|
| 538 |
+
"externalisation": "externalization",
|
| 539 |
+
"externalisations": "externalizations",
|
| 540 |
+
"externalise": "externalize",
|
| 541 |
+
"externalised": "externalized",
|
| 542 |
+
"externalises": "externalizes",
|
| 543 |
+
"externalising": "externalizing",
|
| 544 |
+
"factorise": "factorize",
|
| 545 |
+
"factorised": "factorized",
|
| 546 |
+
"factorises": "factorizes",
|
| 547 |
+
"factorising": "factorizing",
|
| 548 |
+
"faecal": "fecal",
|
| 549 |
+
"faeces": "feces",
|
| 550 |
+
"familiarisation": "familiarization",
|
| 551 |
+
"familiarise": "familiarize",
|
| 552 |
+
"familiarised": "familiarized",
|
| 553 |
+
"familiarises": "familiarizes",
|
| 554 |
+
"familiarising": "familiarizing",
|
| 555 |
+
"fantasise": "fantasize",
|
| 556 |
+
"fantasised": "fantasized",
|
| 557 |
+
"fantasises": "fantasizes",
|
| 558 |
+
"fantasising": "fantasizing",
|
| 559 |
+
"favour": "favor",
|
| 560 |
+
"favourable": "favorable",
|
| 561 |
+
"favourably": "favorably",
|
| 562 |
+
"favoured": "favored",
|
| 563 |
+
"favouring": "favoring",
|
| 564 |
+
"favourite": "favorite",
|
| 565 |
+
"favourites": "favorites",
|
| 566 |
+
"favouritism": "favoritism",
|
| 567 |
+
"favours": "favors",
|
| 568 |
+
"feminise": "feminize",
|
| 569 |
+
"feminised": "feminized",
|
| 570 |
+
"feminises": "feminizes",
|
| 571 |
+
"feminising": "feminizing",
|
| 572 |
+
"fertilisation": "fertilization",
|
| 573 |
+
"fertilise": "fertilize",
|
| 574 |
+
"fertilised": "fertilized",
|
| 575 |
+
"fertiliser": "fertilizer",
|
| 576 |
+
"fertilisers": "fertilizers",
|
| 577 |
+
"fertilises": "fertilizes",
|
| 578 |
+
"fertilising": "fertilizing",
|
| 579 |
+
"fervour": "fervor",
|
| 580 |
+
"fibre": "fiber",
|
| 581 |
+
"fibreglass": "fiberglass",
|
| 582 |
+
"fibres": "fibers",
|
| 583 |
+
"fictionalisation": "fictionalization",
|
| 584 |
+
"fictionalisations": "fictionalizations",
|
| 585 |
+
"fictionalise": "fictionalize",
|
| 586 |
+
"fictionalised": "fictionalized",
|
| 587 |
+
"fictionalises": "fictionalizes",
|
| 588 |
+
"fictionalising": "fictionalizing",
|
| 589 |
+
"fillet": "filet",
|
| 590 |
+
"filleted": "fileted",
|
| 591 |
+
"filleting": "fileting",
|
| 592 |
+
"fillets": "filets",
|
| 593 |
+
"finalisation": "finalization",
|
| 594 |
+
"finalise": "finalize",
|
| 595 |
+
"finalised": "finalized",
|
| 596 |
+
"finalises": "finalizes",
|
| 597 |
+
"finalising": "finalizing",
|
| 598 |
+
"flautist": "flutist",
|
| 599 |
+
"flautists": "flutists",
|
| 600 |
+
"flavour": "flavor",
|
| 601 |
+
"flavoured": "flavored",
|
| 602 |
+
"flavouring": "flavoring",
|
| 603 |
+
"flavourings": "flavorings",
|
| 604 |
+
"flavourless": "flavorless",
|
| 605 |
+
"flavours": "flavors",
|
| 606 |
+
"flavoursome": "flavorsome",
|
| 607 |
+
"flyer / flier": "flier / flyer",
|
| 608 |
+
"foetal": "fetal",
|
| 609 |
+
"foetid": "fetid",
|
| 610 |
+
"foetus": "fetus",
|
| 611 |
+
"foetuses": "fetuses",
|
| 612 |
+
"formalisation": "formalization",
|
| 613 |
+
"formalise": "formalize",
|
| 614 |
+
"formalised": "formalized",
|
| 615 |
+
"formalises": "formalizes",
|
| 616 |
+
"formalising": "formalizing",
|
| 617 |
+
"fossilisation": "fossilization",
|
| 618 |
+
"fossilise": "fossilize",
|
| 619 |
+
"fossilised": "fossilized",
|
| 620 |
+
"fossilises": "fossilizes",
|
| 621 |
+
"fossilising": "fossilizing",
|
| 622 |
+
"fraternisation": "fraternization",
|
| 623 |
+
"fraternise": "fraternize",
|
| 624 |
+
"fraternised": "fraternized",
|
| 625 |
+
"fraternises": "fraternizes",
|
| 626 |
+
"fraternising": "fraternizing",
|
| 627 |
+
"fulfil": "fulfill",
|
| 628 |
+
"fulfilment": "fulfillment",
|
| 629 |
+
"fulfils": "fulfills",
|
| 630 |
+
"funnelled": "funneled",
|
| 631 |
+
"funnelling": "funneling",
|
| 632 |
+
"gage": "gauge",
|
| 633 |
+
"gaged": "gauged",
|
| 634 |
+
"gages": "gauges",
|
| 635 |
+
"gaging": "gauging",
|
| 636 |
+
"galvanise": "galvanize",
|
| 637 |
+
"galvanised": "galvanized",
|
| 638 |
+
"galvanises": "galvanizes",
|
| 639 |
+
"galvanising": "galvanizing",
|
| 640 |
+
"gambolled": "gamboled",
|
| 641 |
+
"gambolling": "gamboling",
|
| 642 |
+
"gaol": "jail",
|
| 643 |
+
"gaolbird": "jailbird",
|
| 644 |
+
"gaolbirds": "jailbirds",
|
| 645 |
+
"gaolbreak": "jailbreak",
|
| 646 |
+
"gaolbreaks": "jailbreaks",
|
| 647 |
+
"gaoled": "jailed",
|
| 648 |
+
"gaoler": "jailer",
|
| 649 |
+
"gaolers": "jailers",
|
| 650 |
+
"gaoling": "jailing",
|
| 651 |
+
"gaols": "jails",
|
| 652 |
+
"gasses": "gases",
|
| 653 |
+
"generalisation": "generalization",
|
| 654 |
+
"generalisations": "generalizations",
|
| 655 |
+
"generalise": "generalize",
|
| 656 |
+
"generalised": "generalized",
|
| 657 |
+
"generalises": "generalizes",
|
| 658 |
+
"generalising": "generalizing",
|
| 659 |
+
"ghettoise": "ghettoize",
|
| 660 |
+
"ghettoised": "ghettoized",
|
| 661 |
+
"ghettoises": "ghettoizes",
|
| 662 |
+
"ghettoising": "ghettoizing",
|
| 663 |
+
"gipsies": "gypsies",
|
| 664 |
+
"glamor": "glamour",
|
| 665 |
+
"glamorise": "glamorize",
|
| 666 |
+
"glamorised": "glamorized",
|
| 667 |
+
"glamorises": "glamorizes",
|
| 668 |
+
"glamorising": "glamorizing",
|
| 669 |
+
"globalisation": "globalization",
|
| 670 |
+
"globalise": "globalize",
|
| 671 |
+
"globalised": "globalized",
|
| 672 |
+
"globalises": "globalizes",
|
| 673 |
+
"globalising": "globalizing",
|
| 674 |
+
"glueing": "gluing",
|
| 675 |
+
"goitre": "goiter",
|
| 676 |
+
"goitres": "goiters",
|
| 677 |
+
"gonorrhoea": "gonorrhea",
|
| 678 |
+
"gramme": "gram",
|
| 679 |
+
"grammes": "grams",
|
| 680 |
+
"gravelled": "graveled",
|
| 681 |
+
"grey": "gray",
|
| 682 |
+
"greyed": "grayed",
|
| 683 |
+
"greying": "graying",
|
| 684 |
+
"greyish": "grayish",
|
| 685 |
+
"greyness": "grayness",
|
| 686 |
+
"greys": "grays",
|
| 687 |
+
"grovelled": "groveled",
|
| 688 |
+
"grovelling": "groveling",
|
| 689 |
+
"groyne": "groin",
|
| 690 |
+
"groynes": "groins",
|
| 691 |
+
"gruelling": "grueling",
|
| 692 |
+
"gruellingly": "gruelingly",
|
| 693 |
+
"gryphon": "griffin",
|
| 694 |
+
"gryphons": "griffins",
|
| 695 |
+
"gynaecological": "gynecological",
|
| 696 |
+
"gynaecologist": "gynecologist",
|
| 697 |
+
"gynaecologists": "gynecologists",
|
| 698 |
+
"gynaecology": "gynecology",
|
| 699 |
+
"haematological": "hematological",
|
| 700 |
+
"haematologist": "hematologist",
|
| 701 |
+
"haematologists": "hematologists",
|
| 702 |
+
"haematology": "hematology",
|
| 703 |
+
"haemoglobin": "hemoglobin",
|
| 704 |
+
"haemophilia": "hemophilia",
|
| 705 |
+
"haemophiliac": "hemophiliac",
|
| 706 |
+
"haemophiliacs": "hemophiliacs",
|
| 707 |
+
"haemorrhage": "hemorrhage",
|
| 708 |
+
"haemorrhaged": "hemorrhaged",
|
| 709 |
+
"haemorrhages": "hemorrhages",
|
| 710 |
+
"haemorrhaging": "hemorrhaging",
|
| 711 |
+
"haemorrhoids": "hemorrhoids",
|
| 712 |
+
"harbour": "harbor",
|
| 713 |
+
"harboured": "harbored",
|
| 714 |
+
"harbouring": "harboring",
|
| 715 |
+
"harbours": "harbors",
|
| 716 |
+
"harmonisation": "harmonization",
|
| 717 |
+
"harmonise": "harmonize",
|
| 718 |
+
"harmonised": "harmonized",
|
| 719 |
+
"harmonises": "harmonizes",
|
| 720 |
+
"harmonising": "harmonizing",
|
| 721 |
+
"homoeopath": "homeopath",
|
| 722 |
+
"homoeopathic": "homeopathic",
|
| 723 |
+
"homoeopaths": "homeopaths",
|
| 724 |
+
"homoeopathy": "homeopathy",
|
| 725 |
+
"homogenise": "homogenize",
|
| 726 |
+
"homogenised": "homogenized",
|
| 727 |
+
"homogenises": "homogenizes",
|
| 728 |
+
"homogenising": "homogenizing",
|
| 729 |
+
"honour": "honor",
|
| 730 |
+
"honourable": "honorable",
|
| 731 |
+
"honourably": "honorably",
|
| 732 |
+
"honoured": "honored",
|
| 733 |
+
"honouring": "honoring",
|
| 734 |
+
"honours": "honors",
|
| 735 |
+
"hospitalisation": "hospitalization",
|
| 736 |
+
"hospitalise": "hospitalize",
|
| 737 |
+
"hospitalised": "hospitalized",
|
| 738 |
+
"hospitalises": "hospitalizes",
|
| 739 |
+
"hospitalising": "hospitalizing",
|
| 740 |
+
"humanise": "humanize",
|
| 741 |
+
"humanised": "humanized",
|
| 742 |
+
"humanises": "humanizes",
|
| 743 |
+
"humanising": "humanizing",
|
| 744 |
+
"humour": "humor",
|
| 745 |
+
"humoured": "humored",
|
| 746 |
+
"humouring": "humoring",
|
| 747 |
+
"humourless": "humorless",
|
| 748 |
+
"humours": "humors",
|
| 749 |
+
"hybridise": "hybridize",
|
| 750 |
+
"hybridised": "hybridized",
|
| 751 |
+
"hybridises": "hybridizes",
|
| 752 |
+
"hybridising": "hybridizing",
|
| 753 |
+
"hypnotise": "hypnotize",
|
| 754 |
+
"hypnotised": "hypnotized",
|
| 755 |
+
"hypnotises": "hypnotizes",
|
| 756 |
+
"hypnotising": "hypnotizing",
|
| 757 |
+
"hypothesise": "hypothesize",
|
| 758 |
+
"hypothesised": "hypothesized",
|
| 759 |
+
"hypothesises": "hypothesizes",
|
| 760 |
+
"hypothesising": "hypothesizing",
|
| 761 |
+
"idealisation": "idealization",
|
| 762 |
+
"idealise": "idealize",
|
| 763 |
+
"idealised": "idealized",
|
| 764 |
+
"idealises": "idealizes",
|
| 765 |
+
"idealising": "idealizing",
|
| 766 |
+
"idolise": "idolize",
|
| 767 |
+
"idolised": "idolized",
|
| 768 |
+
"idolises": "idolizes",
|
| 769 |
+
"idolising": "idolizing",
|
| 770 |
+
"immobilisation": "immobilization",
|
| 771 |
+
"immobilise": "immobilize",
|
| 772 |
+
"immobilised": "immobilized",
|
| 773 |
+
"immobiliser": "immobilizer",
|
| 774 |
+
"immobilisers": "immobilizers",
|
| 775 |
+
"immobilises": "immobilizes",
|
| 776 |
+
"immobilising": "immobilizing",
|
| 777 |
+
"immortalise": "immortalize",
|
| 778 |
+
"immortalised": "immortalized",
|
| 779 |
+
"immortalises": "immortalizes",
|
| 780 |
+
"immortalising": "immortalizing",
|
| 781 |
+
"immunisation": "immunization",
|
| 782 |
+
"immunise": "immunize",
|
| 783 |
+
"immunised": "immunized",
|
| 784 |
+
"immunises": "immunizes",
|
| 785 |
+
"immunising": "immunizing",
|
| 786 |
+
"impanelled": "impaneled",
|
| 787 |
+
"impanelling": "impaneling",
|
| 788 |
+
"imperilled": "imperiled",
|
| 789 |
+
"imperilling": "imperiling",
|
| 790 |
+
"individualise": "individualize",
|
| 791 |
+
"individualised": "individualized",
|
| 792 |
+
"individualises": "individualizes",
|
| 793 |
+
"individualising": "individualizing",
|
| 794 |
+
"industrialise": "industrialize",
|
| 795 |
+
"industrialised": "industrialized",
|
| 796 |
+
"industrialises": "industrializes",
|
| 797 |
+
"industrialising": "industrializing",
|
| 798 |
+
"inflexion": "inflection",
|
| 799 |
+
"inflexions": "inflections",
|
| 800 |
+
"initialise": "initialize",
|
| 801 |
+
"initialised": "initialized",
|
| 802 |
+
"initialises": "initializes",
|
| 803 |
+
"initialising": "initializing",
|
| 804 |
+
"initialled": "initialed",
|
| 805 |
+
"initialling": "initialing",
|
| 806 |
+
"instal": "install",
|
| 807 |
+
"instalment": "installment",
|
| 808 |
+
"instalments": "installments",
|
| 809 |
+
"instals": "installs",
|
| 810 |
+
"instil": "instill",
|
| 811 |
+
"instils": "instills",
|
| 812 |
+
"institutionalisation": "institutionalization",
|
| 813 |
+
"institutionalise": "institutionalize",
|
| 814 |
+
"institutionalised": "institutionalized",
|
| 815 |
+
"institutionalises": "institutionalizes",
|
| 816 |
+
"institutionalising": "institutionalizing",
|
| 817 |
+
"intellectualise": "intellectualize",
|
| 818 |
+
"intellectualised": "intellectualized",
|
| 819 |
+
"intellectualises": "intellectualizes",
|
| 820 |
+
"intellectualising": "intellectualizing",
|
| 821 |
+
"internalisation": "internalization",
|
| 822 |
+
"internalise": "internalize",
|
| 823 |
+
"internalised": "internalized",
|
| 824 |
+
"internalises": "internalizes",
|
| 825 |
+
"internalising": "internalizing",
|
| 826 |
+
"internationalisation": "internationalization",
|
| 827 |
+
"internationalise": "internationalize",
|
| 828 |
+
"internationalised": "internationalized",
|
| 829 |
+
"internationalises": "internationalizes",
|
| 830 |
+
"internationalising": "internationalizing",
|
| 831 |
+
"ionisation": "ionization",
|
| 832 |
+
"ionise": "ionize",
|
| 833 |
+
"ionised": "ionized",
|
| 834 |
+
"ioniser": "ionizer",
|
| 835 |
+
"ionisers": "ionizers",
|
| 836 |
+
"ionises": "ionizes",
|
| 837 |
+
"ionising": "ionizing",
|
| 838 |
+
"italicise": "italicize",
|
| 839 |
+
"italicised": "italicized",
|
| 840 |
+
"italicises": "italicizes",
|
| 841 |
+
"italicising": "italicizing",
|
| 842 |
+
"itemise": "itemize",
|
| 843 |
+
"itemised": "itemized",
|
| 844 |
+
"itemises": "itemizes",
|
| 845 |
+
"itemising": "itemizing",
|
| 846 |
+
"jeopardise": "jeopardize",
|
| 847 |
+
"jeopardised": "jeopardized",
|
| 848 |
+
"jeopardises": "jeopardizes",
|
| 849 |
+
"jeopardising": "jeopardizing",
|
| 850 |
+
"jewelled": "jeweled",
|
| 851 |
+
"jeweller": "jeweler",
|
| 852 |
+
"jewellers": "jewelers",
|
| 853 |
+
"jewellery": "jewelry",
|
| 854 |
+
"judgement": "judgment",
|
| 855 |
+
"kilogramme": "kilogram",
|
| 856 |
+
"kilogrammes": "kilograms",
|
| 857 |
+
"kilometre": "kilometer",
|
| 858 |
+
"kilometres": "kilometers",
|
| 859 |
+
"labelled": "labeled",
|
| 860 |
+
"labelling": "labeling",
|
| 861 |
+
"labour": "labor",
|
| 862 |
+
"laboured": "labored",
|
| 863 |
+
"labourer": "laborer",
|
| 864 |
+
"labourers": "laborers",
|
| 865 |
+
"labouring": "laboring",
|
| 866 |
+
"labours": "labors",
|
| 867 |
+
"lacklustre": "lackluster",
|
| 868 |
+
"legalisation": "legalization",
|
| 869 |
+
"legalise": "legalize",
|
| 870 |
+
"legalised": "legalized",
|
| 871 |
+
"legalises": "legalizes",
|
| 872 |
+
"legalising": "legalizing",
|
| 873 |
+
"legitimise": "legitimize",
|
| 874 |
+
"legitimised": "legitimized",
|
| 875 |
+
"legitimises": "legitimizes",
|
| 876 |
+
"legitimising": "legitimizing",
|
| 877 |
+
"leukaemia": "leukemia",
|
| 878 |
+
"levelled": "leveled",
|
| 879 |
+
"leveller": "leveler",
|
| 880 |
+
"levellers": "levelers",
|
| 881 |
+
"levelling": "leveling",
|
| 882 |
+
"libelled": "libeled",
|
| 883 |
+
"libelling": "libeling",
|
| 884 |
+
"libellous": "libelous",
|
| 885 |
+
"liberalisation": "liberalization",
|
| 886 |
+
"liberalise": "liberalize",
|
| 887 |
+
"liberalised": "liberalized",
|
| 888 |
+
"liberalises": "liberalizes",
|
| 889 |
+
"liberalising": "liberalizing",
|
| 890 |
+
"licence": "license",
|
| 891 |
+
"licenced": "licensed",
|
| 892 |
+
"licences": "licenses",
|
| 893 |
+
"licencing": "licensing",
|
| 894 |
+
"likeable": "likable",
|
| 895 |
+
"lionisation": "lionization",
|
| 896 |
+
"lionise": "lionize",
|
| 897 |
+
"lionised": "lionized",
|
| 898 |
+
"lionises": "lionizes",
|
| 899 |
+
"lionising": "lionizing",
|
| 900 |
+
"liquidise": "liquidize",
|
| 901 |
+
"liquidised": "liquidized",
|
| 902 |
+
"liquidiser": "liquidizer",
|
| 903 |
+
"liquidisers": "liquidizers",
|
| 904 |
+
"liquidises": "liquidizes",
|
| 905 |
+
"liquidising": "liquidizing",
|
| 906 |
+
"litre": "liter",
|
| 907 |
+
"litres": "liters",
|
| 908 |
+
"localise": "localize",
|
| 909 |
+
"localised": "localized",
|
| 910 |
+
"localises": "localizes",
|
| 911 |
+
"localising": "localizing",
|
| 912 |
+
"louvre": "louver",
|
| 913 |
+
"louvred": "louvered",
|
| 914 |
+
"louvres": "louvers",
|
| 915 |
+
"lustre": "luster",
|
| 916 |
+
"magnetise": "magnetize",
|
| 917 |
+
"magnetised": "magnetized",
|
| 918 |
+
"magnetises": "magnetizes",
|
| 919 |
+
"magnetising": "magnetizing",
|
| 920 |
+
"manoeuvrability": "maneuverability",
|
| 921 |
+
"manoeuvrable": "maneuverable",
|
| 922 |
+
"manoeuvre": "maneuver",
|
| 923 |
+
"manoeuvred": "maneuvered",
|
| 924 |
+
"manoeuvres": "maneuvers",
|
| 925 |
+
"manoeuvring": "maneuvering",
|
| 926 |
+
"manoeuvrings": "maneuverings",
|
| 927 |
+
"marginalisation": "marginalization",
|
| 928 |
+
"marginalise": "marginalize",
|
| 929 |
+
"marginalised": "marginalized",
|
| 930 |
+
"marginalises": "marginalizes",
|
| 931 |
+
"marginalising": "marginalizing",
|
| 932 |
+
"marshalled": "marshaled",
|
| 933 |
+
"marshalling": "marshaling",
|
| 934 |
+
"marvelled": "marveled",
|
| 935 |
+
"marvelling": "marveling",
|
| 936 |
+
"marvellous": "marvelous",
|
| 937 |
+
"marvellously": "marvelously",
|
| 938 |
+
"materialisation": "materialization",
|
| 939 |
+
"materialise": "materialize",
|
| 940 |
+
"materialised": "materialized",
|
| 941 |
+
"materialises": "materializes",
|
| 942 |
+
"materialising": "materializing",
|
| 943 |
+
"maximisation": "maximization",
|
| 944 |
+
"maximise": "maximize",
|
| 945 |
+
"maximised": "maximized",
|
| 946 |
+
"maximises": "maximizes",
|
| 947 |
+
"maximising": "maximizing",
|
| 948 |
+
"meagre": "meager",
|
| 949 |
+
"mechanisation": "mechanization",
|
| 950 |
+
"mechanise": "mechanize",
|
| 951 |
+
"mechanised": "mechanized",
|
| 952 |
+
"mechanises": "mechanizes",
|
| 953 |
+
"mechanising": "mechanizing",
|
| 954 |
+
"mediaeval": "medieval",
|
| 955 |
+
"memorialise": "memorialize",
|
| 956 |
+
"memorialised": "memorialized",
|
| 957 |
+
"memorialises": "memorializes",
|
| 958 |
+
"memorialising": "memorializing",
|
| 959 |
+
"memorise": "memorize",
|
| 960 |
+
"memorised": "memorized",
|
| 961 |
+
"memorises": "memorizes",
|
| 962 |
+
"memorising": "memorizing",
|
| 963 |
+
"mesmerise": "mesmerize",
|
| 964 |
+
"mesmerised": "mesmerized",
|
| 965 |
+
"mesmerises": "mesmerizes",
|
| 966 |
+
"mesmerising": "mesmerizing",
|
| 967 |
+
"metabolise": "metabolize",
|
| 968 |
+
"metabolised": "metabolized",
|
| 969 |
+
"metabolises": "metabolizes",
|
| 970 |
+
"metabolising": "metabolizing",
|
| 971 |
+
"metre": "meter",
|
| 972 |
+
"metres": "meters",
|
| 973 |
+
"mhm": "hmm",
|
| 974 |
+
"micrometre": "micrometer",
|
| 975 |
+
"micrometres": "micrometers",
|
| 976 |
+
"militarise": "militarize",
|
| 977 |
+
"militarised": "militarized",
|
| 978 |
+
"militarises": "militarizes",
|
| 979 |
+
"militarising": "militarizing",
|
| 980 |
+
"milligramme": "milligram",
|
| 981 |
+
"milligrammes": "milligrams",
|
| 982 |
+
"millilitre": "milliliter",
|
| 983 |
+
"millilitres": "milliliters",
|
| 984 |
+
"millimetre": "millimeter",
|
| 985 |
+
"millimetres": "millimeters",
|
| 986 |
+
"miniaturisation": "miniaturization",
|
| 987 |
+
"miniaturise": "miniaturize",
|
| 988 |
+
"miniaturised": "miniaturized",
|
| 989 |
+
"miniaturises": "miniaturizes",
|
| 990 |
+
"miniaturising": "miniaturizing",
|
| 991 |
+
"minibusses": "minibuses",
|
| 992 |
+
"minimise": "minimize",
|
| 993 |
+
"minimised": "minimized",
|
| 994 |
+
"minimises": "minimizes",
|
| 995 |
+
"minimising": "minimizing",
|
| 996 |
+
"misbehaviour": "misbehavior",
|
| 997 |
+
"misdemeanour": "misdemeanor",
|
| 998 |
+
"misdemeanours": "misdemeanors",
|
| 999 |
+
"misspelt": "misspelled",
|
| 1000 |
+
"mitre": "miter",
|
| 1001 |
+
"mitres": "miters",
|
| 1002 |
+
"mm": "hmm",
|
| 1003 |
+
"mmm": "hmm",
|
| 1004 |
+
"mobilisation": "mobilization",
|
| 1005 |
+
"mobilise": "mobilize",
|
| 1006 |
+
"mobilised": "mobilized",
|
| 1007 |
+
"mobilises": "mobilizes",
|
| 1008 |
+
"mobilising": "mobilizing",
|
| 1009 |
+
"modelled": "modeled",
|
| 1010 |
+
"modeller": "modeler",
|
| 1011 |
+
"modellers": "modelers",
|
| 1012 |
+
"modelling": "modeling",
|
| 1013 |
+
"modernise": "modernize",
|
| 1014 |
+
"modernised": "modernized",
|
| 1015 |
+
"modernises": "modernizes",
|
| 1016 |
+
"modernising": "modernizing",
|
| 1017 |
+
"moisturise": "moisturize",
|
| 1018 |
+
"moisturised": "moisturized",
|
| 1019 |
+
"moisturiser": "moisturizer",
|
| 1020 |
+
"moisturisers": "moisturizers",
|
| 1021 |
+
"moisturises": "moisturizes",
|
| 1022 |
+
"moisturising": "moisturizing",
|
| 1023 |
+
"monologue": "monolog",
|
| 1024 |
+
"monologues": "monologs",
|
| 1025 |
+
"monopolisation": "monopolization",
|
| 1026 |
+
"monopolise": "monopolize",
|
| 1027 |
+
"monopolised": "monopolized",
|
| 1028 |
+
"monopolises": "monopolizes",
|
| 1029 |
+
"monopolising": "monopolizing",
|
| 1030 |
+
"moralise": "moralize",
|
| 1031 |
+
"moralised": "moralized",
|
| 1032 |
+
"moralises": "moralizes",
|
| 1033 |
+
"moralising": "moralizing",
|
| 1034 |
+
"motorised": "motorized",
|
| 1035 |
+
"mould": "mold",
|
| 1036 |
+
"moulded": "molded",
|
| 1037 |
+
"moulder": "molder",
|
| 1038 |
+
"mouldered": "moldered",
|
| 1039 |
+
"mouldering": "moldering",
|
| 1040 |
+
"moulders": "molders",
|
| 1041 |
+
"mouldier": "moldier",
|
| 1042 |
+
"mouldiest": "moldiest",
|
| 1043 |
+
"moulding": "molding",
|
| 1044 |
+
"mouldings": "moldings",
|
| 1045 |
+
"moulds": "molds",
|
| 1046 |
+
"mouldy": "moldy",
|
| 1047 |
+
"moult": "molt",
|
| 1048 |
+
"moulted": "molted",
|
| 1049 |
+
"moulting": "molting",
|
| 1050 |
+
"moults": "molts",
|
| 1051 |
+
"moustache": "mustache",
|
| 1052 |
+
"moustached": "mustached",
|
| 1053 |
+
"moustaches": "mustaches",
|
| 1054 |
+
"moustachioed": "mustachioed",
|
| 1055 |
+
"multicoloured": "multicolored",
|
| 1056 |
+
"nationalisation": "nationalization",
|
| 1057 |
+
"nationalisations": "nationalizations",
|
| 1058 |
+
"nationalise": "nationalize",
|
| 1059 |
+
"nationalised": "nationalized",
|
| 1060 |
+
"nationalises": "nationalizes",
|
| 1061 |
+
"nationalising": "nationalizing",
|
| 1062 |
+
"naturalisation": "naturalization",
|
| 1063 |
+
"naturalise": "naturalize",
|
| 1064 |
+
"naturalised": "naturalized",
|
| 1065 |
+
"naturalises": "naturalizes",
|
| 1066 |
+
"naturalising": "naturalizing",
|
| 1067 |
+
"neighbour": "neighbor",
|
| 1068 |
+
"neighbourhood": "neighborhood",
|
| 1069 |
+
"neighbourhoods": "neighborhoods",
|
| 1070 |
+
"neighbouring": "neighboring",
|
| 1071 |
+
"neighbourliness": "neighborliness",
|
| 1072 |
+
"neighbourly": "neighborly",
|
| 1073 |
+
"neighbours": "neighbors",
|
| 1074 |
+
"neutralisation": "neutralization",
|
| 1075 |
+
"neutralise": "neutralize",
|
| 1076 |
+
"neutralised": "neutralized",
|
| 1077 |
+
"neutralises": "neutralizes",
|
| 1078 |
+
"neutralising": "neutralizing",
|
| 1079 |
+
"normalisation": "normalization",
|
| 1080 |
+
"normalise": "normalize",
|
| 1081 |
+
"normalised": "normalized",
|
| 1082 |
+
"normalises": "normalizes",
|
| 1083 |
+
"normalising": "normalizing",
|
| 1084 |
+
"odour": "odor",
|
| 1085 |
+
"odourless": "odorless",
|
| 1086 |
+
"odours": "odors",
|
| 1087 |
+
"oesophagus": "esophagus",
|
| 1088 |
+
"oesophaguses": "esophaguses",
|
| 1089 |
+
"oestrogen": "estrogen",
|
| 1090 |
+
"offence": "offense",
|
| 1091 |
+
"offences": "offenses",
|
| 1092 |
+
"omelette": "omelet",
|
| 1093 |
+
"omelettes": "omelets",
|
| 1094 |
+
"optimise": "optimize",
|
| 1095 |
+
"optimised": "optimized",
|
| 1096 |
+
"optimises": "optimizes",
|
| 1097 |
+
"optimising": "optimizing",
|
| 1098 |
+
"organisation": "organization",
|
| 1099 |
+
"organisational": "organizational",
|
| 1100 |
+
"organisations": "organizations",
|
| 1101 |
+
"organise": "organize",
|
| 1102 |
+
"organised": "organized",
|
| 1103 |
+
"organiser": "organizer",
|
| 1104 |
+
"organisers": "organizers",
|
| 1105 |
+
"organises": "organizes",
|
| 1106 |
+
"organising": "organizing",
|
| 1107 |
+
"orthopaedic": "orthopedic",
|
| 1108 |
+
"orthopaedics": "orthopedics",
|
| 1109 |
+
"ostracise": "ostracize",
|
| 1110 |
+
"ostracised": "ostracized",
|
| 1111 |
+
"ostracises": "ostracizes",
|
| 1112 |
+
"ostracising": "ostracizing",
|
| 1113 |
+
"outmanoeuvre": "outmaneuver",
|
| 1114 |
+
"outmanoeuvred": "outmaneuvered",
|
| 1115 |
+
"outmanoeuvres": "outmaneuvers",
|
| 1116 |
+
"outmanoeuvring": "outmaneuvering",
|
| 1117 |
+
"overemphasise": "overemphasize",
|
| 1118 |
+
"overemphasised": "overemphasized",
|
| 1119 |
+
"overemphasises": "overemphasizes",
|
| 1120 |
+
"overemphasising": "overemphasizing",
|
| 1121 |
+
"oxidisation": "oxidization",
|
| 1122 |
+
"oxidise": "oxidize",
|
| 1123 |
+
"oxidised": "oxidized",
|
| 1124 |
+
"oxidises": "oxidizes",
|
| 1125 |
+
"oxidising": "oxidizing",
|
| 1126 |
+
"paederast": "pederast",
|
| 1127 |
+
"paederasts": "pederasts",
|
| 1128 |
+
"paediatric": "pediatric",
|
| 1129 |
+
"paediatrician": "pediatrician",
|
| 1130 |
+
"paediatricians": "pediatricians",
|
| 1131 |
+
"paediatrics": "pediatrics",
|
| 1132 |
+
"paedophile": "pedophile",
|
| 1133 |
+
"paedophiles": "pedophiles",
|
| 1134 |
+
"paedophilia": "pedophilia",
|
| 1135 |
+
"palaeolithic": "paleolithic",
|
| 1136 |
+
"palaeontologist": "paleontologist",
|
| 1137 |
+
"palaeontologists": "paleontologists",
|
| 1138 |
+
"palaeontology": "paleontology",
|
| 1139 |
+
"panelled": "paneled",
|
| 1140 |
+
"panelling": "paneling",
|
| 1141 |
+
"panellist": "panelist",
|
| 1142 |
+
"panellists": "panelists",
|
| 1143 |
+
"paralyse": "paralyze",
|
| 1144 |
+
"paralysed": "paralyzed",
|
| 1145 |
+
"paralyses": "paralyzes",
|
| 1146 |
+
"paralysing": "paralyzing",
|
| 1147 |
+
"parcelled": "parceled",
|
| 1148 |
+
"parcelling": "parceling",
|
| 1149 |
+
"parlour": "parlor",
|
| 1150 |
+
"parlours": "parlors",
|
| 1151 |
+
"particularise": "particularize",
|
| 1152 |
+
"particularised": "particularized",
|
| 1153 |
+
"particularises": "particularizes",
|
| 1154 |
+
"particularising": "particularizing",
|
| 1155 |
+
"passivisation": "passivization",
|
| 1156 |
+
"passivise": "passivize",
|
| 1157 |
+
"passivised": "passivized",
|
| 1158 |
+
"passivises": "passivizes",
|
| 1159 |
+
"passivising": "passivizing",
|
| 1160 |
+
"pasteurisation": "pasteurization",
|
| 1161 |
+
"pasteurise": "pasteurize",
|
| 1162 |
+
"pasteurised": "pasteurized",
|
| 1163 |
+
"pasteurises": "pasteurizes",
|
| 1164 |
+
"pasteurising": "pasteurizing",
|
| 1165 |
+
"patronise": "patronize",
|
| 1166 |
+
"patronised": "patronized",
|
| 1167 |
+
"patronises": "patronizes",
|
| 1168 |
+
"patronising": "patronizing",
|
| 1169 |
+
"patronisingly": "patronizingly",
|
| 1170 |
+
"pedalled": "pedaled",
|
| 1171 |
+
"pedalling": "pedaling",
|
| 1172 |
+
"pedestrianisation": "pedestrianization",
|
| 1173 |
+
"pedestrianise": "pedestrianize",
|
| 1174 |
+
"pedestrianised": "pedestrianized",
|
| 1175 |
+
"pedestrianises": "pedestrianizes",
|
| 1176 |
+
"pedestrianising": "pedestrianizing",
|
| 1177 |
+
"penalise": "penalize",
|
| 1178 |
+
"penalised": "penalized",
|
| 1179 |
+
"penalises": "penalizes",
|
| 1180 |
+
"penalising": "penalizing",
|
| 1181 |
+
"pencilled": "penciled",
|
| 1182 |
+
"pencilling": "penciling",
|
| 1183 |
+
"personalise": "personalize",
|
| 1184 |
+
"personalised": "personalized",
|
| 1185 |
+
"personalises": "personalizes",
|
| 1186 |
+
"personalising": "personalizing",
|
| 1187 |
+
"pharmacopoeia": "pharmacopeia",
|
| 1188 |
+
"pharmacopoeias": "pharmacopeias",
|
| 1189 |
+
"philosophise": "philosophize",
|
| 1190 |
+
"philosophised": "philosophized",
|
| 1191 |
+
"philosophises": "philosophizes",
|
| 1192 |
+
"philosophising": "philosophizing",
|
| 1193 |
+
"philtre": "filter",
|
| 1194 |
+
"philtres": "filters",
|
| 1195 |
+
"phoney": "phony",
|
| 1196 |
+
"plagiarise": "plagiarize",
|
| 1197 |
+
"plagiarised": "plagiarized",
|
| 1198 |
+
"plagiarises": "plagiarizes",
|
| 1199 |
+
"plagiarising": "plagiarizing",
|
| 1200 |
+
"plough": "plow",
|
| 1201 |
+
"ploughed": "plowed",
|
| 1202 |
+
"ploughing": "plowing",
|
| 1203 |
+
"ploughman": "plowman",
|
| 1204 |
+
"ploughmen": "plowmen",
|
| 1205 |
+
"ploughs": "plows",
|
| 1206 |
+
"ploughshare": "plowshare",
|
| 1207 |
+
"ploughshares": "plowshares",
|
| 1208 |
+
"polarisation": "polarization",
|
| 1209 |
+
"polarise": "polarize",
|
| 1210 |
+
"polarised": "polarized",
|
| 1211 |
+
"polarises": "polarizes",
|
| 1212 |
+
"polarising": "polarizing",
|
| 1213 |
+
"politicisation": "politicization",
|
| 1214 |
+
"politicise": "politicize",
|
| 1215 |
+
"politicised": "politicized",
|
| 1216 |
+
"politicises": "politicizes",
|
| 1217 |
+
"politicising": "politicizing",
|
| 1218 |
+
"popularisation": "popularization",
|
| 1219 |
+
"popularise": "popularize",
|
| 1220 |
+
"popularised": "popularized",
|
| 1221 |
+
"popularises": "popularizes",
|
| 1222 |
+
"popularising": "popularizing",
|
| 1223 |
+
"pouffe": "pouf",
|
| 1224 |
+
"pouffes": "poufs",
|
| 1225 |
+
"practise": "practice",
|
| 1226 |
+
"practised": "practiced",
|
| 1227 |
+
"practises": "practices",
|
| 1228 |
+
"practising": "practicing",
|
| 1229 |
+
"praesidium": "presidium",
|
| 1230 |
+
"praesidiums": "presidiums",
|
| 1231 |
+
"pressurisation": "pressurization",
|
| 1232 |
+
"pressurise": "pressurize",
|
| 1233 |
+
"pressurised": "pressurized",
|
| 1234 |
+
"pressurises": "pressurizes",
|
| 1235 |
+
"pressurising": "pressurizing",
|
| 1236 |
+
"pretence": "pretense",
|
| 1237 |
+
"pretences": "pretenses",
|
| 1238 |
+
"primaeval": "primeval",
|
| 1239 |
+
"prioritisation": "prioritization",
|
| 1240 |
+
"prioritise": "prioritize",
|
| 1241 |
+
"prioritised": "prioritized",
|
| 1242 |
+
"prioritises": "prioritizes",
|
| 1243 |
+
"prioritising": "prioritizing",
|
| 1244 |
+
"privatisation": "privatization",
|
| 1245 |
+
"privatisations": "privatizations",
|
| 1246 |
+
"privatise": "privatize",
|
| 1247 |
+
"privatised": "privatized",
|
| 1248 |
+
"privatises": "privatizes",
|
| 1249 |
+
"privatising": "privatizing",
|
| 1250 |
+
"professionalisation": "professionalization",
|
| 1251 |
+
"professionalise": "professionalize",
|
| 1252 |
+
"professionalised": "professionalized",
|
| 1253 |
+
"professionalises": "professionalizes",
|
| 1254 |
+
"professionalising": "professionalizing",
|
| 1255 |
+
"programme": "program",
|
| 1256 |
+
"programmes": "programs",
|
| 1257 |
+
"prologue": "prolog",
|
| 1258 |
+
"prologues": "prologs",
|
| 1259 |
+
"propagandise": "propagandize",
|
| 1260 |
+
"propagandised": "propagandized",
|
| 1261 |
+
"propagandises": "propagandizes",
|
| 1262 |
+
"propagandising": "propagandizing",
|
| 1263 |
+
"proselytise": "proselytize",
|
| 1264 |
+
"proselytised": "proselytized",
|
| 1265 |
+
"proselytiser": "proselytizer",
|
| 1266 |
+
"proselytisers": "proselytizers",
|
| 1267 |
+
"proselytises": "proselytizes",
|
| 1268 |
+
"proselytising": "proselytizing",
|
| 1269 |
+
"psychoanalyse": "psychoanalyze",
|
| 1270 |
+
"psychoanalysed": "psychoanalyzed",
|
| 1271 |
+
"psychoanalyses": "psychoanalyzes",
|
| 1272 |
+
"psychoanalysing": "psychoanalyzing",
|
| 1273 |
+
"publicise": "publicize",
|
| 1274 |
+
"publicised": "publicized",
|
| 1275 |
+
"publicises": "publicizes",
|
| 1276 |
+
"publicising": "publicizing",
|
| 1277 |
+
"pulverisation": "pulverization",
|
| 1278 |
+
"pulverise": "pulverize",
|
| 1279 |
+
"pulverised": "pulverized",
|
| 1280 |
+
"pulverises": "pulverizes",
|
| 1281 |
+
"pulverising": "pulverizing",
|
| 1282 |
+
"pummelled": "pummel",
|
| 1283 |
+
"pummelling": "pummeled",
|
| 1284 |
+
"pyjama": "pajama",
|
| 1285 |
+
"pyjamas": "pajamas",
|
| 1286 |
+
"pzazz": "pizzazz",
|
| 1287 |
+
"quarrelled": "quarreled",
|
| 1288 |
+
"quarrelling": "quarreling",
|
| 1289 |
+
"radicalise": "radicalize",
|
| 1290 |
+
"radicalised": "radicalized",
|
| 1291 |
+
"radicalises": "radicalizes",
|
| 1292 |
+
"radicalising": "radicalizing",
|
| 1293 |
+
"rancour": "rancor",
|
| 1294 |
+
"randomise": "randomize",
|
| 1295 |
+
"randomised": "randomized",
|
| 1296 |
+
"randomises": "randomizes",
|
| 1297 |
+
"randomising": "randomizing",
|
| 1298 |
+
"rationalisation": "rationalization",
|
| 1299 |
+
"rationalisations": "rationalizations",
|
| 1300 |
+
"rationalise": "rationalize",
|
| 1301 |
+
"rationalised": "rationalized",
|
| 1302 |
+
"rationalises": "rationalizes",
|
| 1303 |
+
"rationalising": "rationalizing",
|
| 1304 |
+
"ravelled": "raveled",
|
| 1305 |
+
"ravelling": "raveling",
|
| 1306 |
+
"realisable": "realizable",
|
| 1307 |
+
"realisation": "realization",
|
| 1308 |
+
"realisations": "realizations",
|
| 1309 |
+
"realise": "realize",
|
| 1310 |
+
"realised": "realized",
|
| 1311 |
+
"realises": "realizes",
|
| 1312 |
+
"realising": "realizing",
|
| 1313 |
+
"recognisable": "recognizable",
|
| 1314 |
+
"recognisably": "recognizably",
|
| 1315 |
+
"recognisance": "recognizance",
|
| 1316 |
+
"recognise": "recognize",
|
| 1317 |
+
"recognised": "recognized",
|
| 1318 |
+
"recognises": "recognizes",
|
| 1319 |
+
"recognising": "recognizing",
|
| 1320 |
+
"reconnoitre": "reconnoiter",
|
| 1321 |
+
"reconnoitred": "reconnoitered",
|
| 1322 |
+
"reconnoitres": "reconnoiters",
|
| 1323 |
+
"reconnoitring": "reconnoitering",
|
| 1324 |
+
"refuelled": "refueled",
|
| 1325 |
+
"refuelling": "refueling",
|
| 1326 |
+
"regularisation": "regularization",
|
| 1327 |
+
"regularise": "regularize",
|
| 1328 |
+
"regularised": "regularized",
|
| 1329 |
+
"regularises": "regularizes",
|
| 1330 |
+
"regularising": "regularizing",
|
| 1331 |
+
"remodelled": "remodeled",
|
| 1332 |
+
"remodelling": "remodeling",
|
| 1333 |
+
"remould": "remold",
|
| 1334 |
+
"remoulded": "remolded",
|
| 1335 |
+
"remoulding": "remolding",
|
| 1336 |
+
"remoulds": "remolds",
|
| 1337 |
+
"reorganisation": "reorganization",
|
| 1338 |
+
"reorganisations": "reorganizations",
|
| 1339 |
+
"reorganise": "reorganize",
|
| 1340 |
+
"reorganised": "reorganized",
|
| 1341 |
+
"reorganises": "reorganizes",
|
| 1342 |
+
"reorganising": "reorganizing",
|
| 1343 |
+
"revelled": "reveled",
|
| 1344 |
+
"reveller": "reveler",
|
| 1345 |
+
"revellers": "revelers",
|
| 1346 |
+
"revelling": "reveling",
|
| 1347 |
+
"revitalise": "revitalize",
|
| 1348 |
+
"revitalised": "revitalized",
|
| 1349 |
+
"revitalises": "revitalizes",
|
| 1350 |
+
"revitalising": "revitalizing",
|
| 1351 |
+
"revolutionise": "revolutionize",
|
| 1352 |
+
"revolutionised": "revolutionized",
|
| 1353 |
+
"revolutionises": "revolutionizes",
|
| 1354 |
+
"revolutionising": "revolutionizing",
|
| 1355 |
+
"rhapsodise": "rhapsodize",
|
| 1356 |
+
"rhapsodised": "rhapsodized",
|
| 1357 |
+
"rhapsodises": "rhapsodizes",
|
| 1358 |
+
"rhapsodising": "rhapsodizing",
|
| 1359 |
+
"rigour": "rigor",
|
| 1360 |
+
"rigours": "rigors",
|
| 1361 |
+
"ritualised": "ritualized",
|
| 1362 |
+
"rivalled": "rivaled",
|
| 1363 |
+
"rivalling": "rivaling",
|
| 1364 |
+
"romanticise": "romanticize",
|
| 1365 |
+
"romanticised": "romanticized",
|
| 1366 |
+
"romanticises": "romanticizes",
|
| 1367 |
+
"romanticising": "romanticizing",
|
| 1368 |
+
"rumour": "rumor",
|
| 1369 |
+
"rumoured": "rumored",
|
| 1370 |
+
"rumours": "rumors",
|
| 1371 |
+
"sabre": "saber",
|
| 1372 |
+
"sabres": "sabers",
|
| 1373 |
+
"saltpetre": "saltpeter",
|
| 1374 |
+
"sanitise": "sanitize",
|
| 1375 |
+
"sanitised": "sanitized",
|
| 1376 |
+
"sanitises": "sanitizes",
|
| 1377 |
+
"sanitising": "sanitizing",
|
| 1378 |
+
"satirise": "satirize",
|
| 1379 |
+
"satirised": "satirized",
|
| 1380 |
+
"satirises": "satirizes",
|
| 1381 |
+
"satirising": "satirizing",
|
| 1382 |
+
"saviour": "savior",
|
| 1383 |
+
"saviours": "saviors",
|
| 1384 |
+
"savour": "savor",
|
| 1385 |
+
"savoured": "savored",
|
| 1386 |
+
"savouries": "savories",
|
| 1387 |
+
"savouring": "savoring",
|
| 1388 |
+
"savours": "savors",
|
| 1389 |
+
"savoury": "savory",
|
| 1390 |
+
"scandalise": "scandalize",
|
| 1391 |
+
"scandalised": "scandalized",
|
| 1392 |
+
"scandalises": "scandalizes",
|
| 1393 |
+
"scandalising": "scandalizing",
|
| 1394 |
+
"sceptic": "skeptic",
|
| 1395 |
+
"sceptical": "skeptical",
|
| 1396 |
+
"sceptically": "skeptically",
|
| 1397 |
+
"scepticism": "skepticism",
|
| 1398 |
+
"sceptics": "skeptics",
|
| 1399 |
+
"sceptre": "scepter",
|
| 1400 |
+
"sceptres": "scepters",
|
| 1401 |
+
"scrutinise": "scrutinize",
|
| 1402 |
+
"scrutinised": "scrutinized",
|
| 1403 |
+
"scrutinises": "scrutinizes",
|
| 1404 |
+
"scrutinising": "scrutinizing",
|
| 1405 |
+
"secularisation": "secularization",
|
| 1406 |
+
"secularise": "secularize",
|
| 1407 |
+
"secularised": "secularized",
|
| 1408 |
+
"secularises": "secularizes",
|
| 1409 |
+
"secularising": "secularizing",
|
| 1410 |
+
"sensationalise": "sensationalize",
|
| 1411 |
+
"sensationalised": "sensationalized",
|
| 1412 |
+
"sensationalises": "sensationalizes",
|
| 1413 |
+
"sensationalising": "sensationalizing",
|
| 1414 |
+
"sensitise": "sensitize",
|
| 1415 |
+
"sensitised": "sensitized",
|
| 1416 |
+
"sensitises": "sensitizes",
|
| 1417 |
+
"sensitising": "sensitizing",
|
| 1418 |
+
"sentimentalise": "sentimentalize",
|
| 1419 |
+
"sentimentalised": "sentimentalized",
|
| 1420 |
+
"sentimentalises": "sentimentalizes",
|
| 1421 |
+
"sentimentalising": "sentimentalizing",
|
| 1422 |
+
"sepulchre": "sepulcher",
|
| 1423 |
+
"sepulchres": "sepulchers",
|
| 1424 |
+
"serialisation": "serialization",
|
| 1425 |
+
"serialisations": "serializations",
|
| 1426 |
+
"serialise": "serialize",
|
| 1427 |
+
"serialised": "serialized",
|
| 1428 |
+
"serialises": "serializes",
|
| 1429 |
+
"serialising": "serializing",
|
| 1430 |
+
"sermonise": "sermonize",
|
| 1431 |
+
"sermonised": "sermonized",
|
| 1432 |
+
"sermonises": "sermonizes",
|
| 1433 |
+
"sermonising": "sermonizing",
|
| 1434 |
+
"sheikh": "sheik",
|
| 1435 |
+
"shovelled": "shoveled",
|
| 1436 |
+
"shovelling": "shoveling",
|
| 1437 |
+
"shrivelled": "shriveled",
|
| 1438 |
+
"shrivelling": "shriveling",
|
| 1439 |
+
"signalise": "signalize",
|
| 1440 |
+
"signalised": "signalized",
|
| 1441 |
+
"signalises": "signalizes",
|
| 1442 |
+
"signalising": "signalizing",
|
| 1443 |
+
"signalled": "signaled",
|
| 1444 |
+
"signalling": "signaling",
|
| 1445 |
+
"smoulder": "smolder",
|
| 1446 |
+
"smouldered": "smoldered",
|
| 1447 |
+
"smouldering": "smoldering",
|
| 1448 |
+
"smoulders": "smolders",
|
| 1449 |
+
"snivelled": "sniveled",
|
| 1450 |
+
"snivelling": "sniveling",
|
| 1451 |
+
"snorkelled": "snorkeled",
|
| 1452 |
+
"snorkelling": "snorkeling",
|
| 1453 |
+
"snowplough": "snowplow",
|
| 1454 |
+
"snowploughs": "snowplow",
|
| 1455 |
+
"socialisation": "socialization",
|
| 1456 |
+
"socialise": "socialize",
|
| 1457 |
+
"socialised": "socialized",
|
| 1458 |
+
"socialises": "socializes",
|
| 1459 |
+
"socialising": "socializing",
|
| 1460 |
+
"sodomise": "sodomize",
|
| 1461 |
+
"sodomised": "sodomized",
|
| 1462 |
+
"sodomises": "sodomizes",
|
| 1463 |
+
"sodomising": "sodomizing",
|
| 1464 |
+
"solemnise": "solemnize",
|
| 1465 |
+
"solemnised": "solemnized",
|
| 1466 |
+
"solemnises": "solemnizes",
|
| 1467 |
+
"solemnising": "solemnizing",
|
| 1468 |
+
"sombre": "somber",
|
| 1469 |
+
"specialisation": "specialization",
|
| 1470 |
+
"specialisations": "specializations",
|
| 1471 |
+
"specialise": "specialize",
|
| 1472 |
+
"specialised": "specialized",
|
| 1473 |
+
"specialises": "specializes",
|
| 1474 |
+
"specialising": "specializing",
|
| 1475 |
+
"spectre": "specter",
|
| 1476 |
+
"spectres": "specters",
|
| 1477 |
+
"spiralled": "spiraled",
|
| 1478 |
+
"spiralling": "spiraling",
|
| 1479 |
+
"splendour": "splendor",
|
| 1480 |
+
"splendours": "splendors",
|
| 1481 |
+
"squirrelled": "squirreled",
|
| 1482 |
+
"squirrelling": "squirreling",
|
| 1483 |
+
"stabilisation": "stabilization",
|
| 1484 |
+
"stabilise": "stabilize",
|
| 1485 |
+
"stabilised": "stabilized",
|
| 1486 |
+
"stabiliser": "stabilizer",
|
| 1487 |
+
"stabilisers": "stabilizers",
|
| 1488 |
+
"stabilises": "stabilizes",
|
| 1489 |
+
"stabilising": "stabilizing",
|
| 1490 |
+
"standardisation": "standardization",
|
| 1491 |
+
"standardise": "standardize",
|
| 1492 |
+
"standardised": "standardized",
|
| 1493 |
+
"standardises": "standardizes",
|
| 1494 |
+
"standardising": "standardizing",
|
| 1495 |
+
"stencilled": "stenciled",
|
| 1496 |
+
"stencilling": "stenciling",
|
| 1497 |
+
"sterilisation": "sterilization",
|
| 1498 |
+
"sterilisations": "sterilizations",
|
| 1499 |
+
"sterilise": "sterilize",
|
| 1500 |
+
"sterilised": "sterilized",
|
| 1501 |
+
"steriliser": "sterilizer",
|
| 1502 |
+
"sterilisers": "sterilizers",
|
| 1503 |
+
"sterilises": "sterilizes",
|
| 1504 |
+
"sterilising": "sterilizing",
|
| 1505 |
+
"stigmatisation": "stigmatization",
|
| 1506 |
+
"stigmatise": "stigmatize",
|
| 1507 |
+
"stigmatised": "stigmatized",
|
| 1508 |
+
"stigmatises": "stigmatizes",
|
| 1509 |
+
"stigmatising": "stigmatizing",
|
| 1510 |
+
"storey": "story",
|
| 1511 |
+
"storeys": "stories",
|
| 1512 |
+
"subsidisation": "subsidization",
|
| 1513 |
+
"subsidise": "subsidize",
|
| 1514 |
+
"subsidised": "subsidized",
|
| 1515 |
+
"subsidiser": "subsidizer",
|
| 1516 |
+
"subsidisers": "subsidizers",
|
| 1517 |
+
"subsidises": "subsidizes",
|
| 1518 |
+
"subsidising": "subsidizing",
|
| 1519 |
+
"succour": "succor",
|
| 1520 |
+
"succoured": "succored",
|
| 1521 |
+
"succouring": "succoring",
|
| 1522 |
+
"succours": "succors",
|
| 1523 |
+
"sulphate": "sulfate",
|
| 1524 |
+
"sulphates": "sulfates",
|
| 1525 |
+
"sulphide": "sulfide",
|
| 1526 |
+
"sulphides": "sulfides",
|
| 1527 |
+
"sulphur": "sulfur",
|
| 1528 |
+
"sulphurous": "sulfurous",
|
| 1529 |
+
"summarise": "summarize",
|
| 1530 |
+
"summarised": "summarized",
|
| 1531 |
+
"summarises": "summarizes",
|
| 1532 |
+
"summarising": "summarizing",
|
| 1533 |
+
"swivelled": "swiveled",
|
| 1534 |
+
"swivelling": "swiveling",
|
| 1535 |
+
"symbolise": "symbolize",
|
| 1536 |
+
"symbolised": "symbolized",
|
| 1537 |
+
"symbolises": "symbolizes",
|
| 1538 |
+
"symbolising": "symbolizing",
|
| 1539 |
+
"sympathise": "sympathize",
|
| 1540 |
+
"sympathised": "sympathized",
|
| 1541 |
+
"sympathiser": "sympathizer",
|
| 1542 |
+
"sympathisers": "sympathizers",
|
| 1543 |
+
"sympathises": "sympathizes",
|
| 1544 |
+
"sympathising": "sympathizing",
|
| 1545 |
+
"synchronisation": "synchronization",
|
| 1546 |
+
"synchronise": "synchronize",
|
| 1547 |
+
"synchronised": "synchronized",
|
| 1548 |
+
"synchronises": "synchronizes",
|
| 1549 |
+
"synchronising": "synchronizing",
|
| 1550 |
+
"synthesise": "synthesize",
|
| 1551 |
+
"synthesised": "synthesized",
|
| 1552 |
+
"synthesiser": "synthesizer",
|
| 1553 |
+
"synthesisers": "synthesizers",
|
| 1554 |
+
"synthesises": "synthesizes",
|
| 1555 |
+
"synthesising": "synthesizing",
|
| 1556 |
+
"syphon": "siphon",
|
| 1557 |
+
"syphoned": "siphoned",
|
| 1558 |
+
"syphoning": "siphoning",
|
| 1559 |
+
"syphons": "siphons",
|
| 1560 |
+
"systematisation": "systematization",
|
| 1561 |
+
"systematise": "systematize",
|
| 1562 |
+
"systematised": "systematized",
|
| 1563 |
+
"systematises": "systematizes",
|
| 1564 |
+
"systematising": "systematizing",
|
| 1565 |
+
"tantalise": "tantalize",
|
| 1566 |
+
"tantalised": "tantalized",
|
| 1567 |
+
"tantalises": "tantalizes",
|
| 1568 |
+
"tantalising": "tantalizing",
|
| 1569 |
+
"tantalisingly": "tantalizingly",
|
| 1570 |
+
"tasselled": "tasseled",
|
| 1571 |
+
"technicolour": "technicolor",
|
| 1572 |
+
"temporise": "temporize",
|
| 1573 |
+
"temporised": "temporized",
|
| 1574 |
+
"temporises": "temporizes",
|
| 1575 |
+
"temporising": "temporizing",
|
| 1576 |
+
"tenderise": "tenderize",
|
| 1577 |
+
"tenderised": "tenderized",
|
| 1578 |
+
"tenderises": "tenderizes",
|
| 1579 |
+
"tenderising": "tenderizing",
|
| 1580 |
+
"terrorise": "terrorize",
|
| 1581 |
+
"terrorised": "terrorized",
|
| 1582 |
+
"terrorises": "terrorizes",
|
| 1583 |
+
"terrorising": "terrorizing",
|
| 1584 |
+
"theatre": "theater",
|
| 1585 |
+
"theatregoer": "theatergoer",
|
| 1586 |
+
"theatregoers": "theatergoers",
|
| 1587 |
+
"theatres": "theaters",
|
| 1588 |
+
"theorise": "theorize",
|
| 1589 |
+
"theorised": "theorized",
|
| 1590 |
+
"theorises": "theorizes",
|
| 1591 |
+
"theorising": "theorizing",
|
| 1592 |
+
"tonne": "ton",
|
| 1593 |
+
"tonnes": "tons",
|
| 1594 |
+
"towelled": "toweled",
|
| 1595 |
+
"towelling": "toweling",
|
| 1596 |
+
"toxaemia": "toxemia",
|
| 1597 |
+
"tranquillise": "tranquilize",
|
| 1598 |
+
"tranquillised": "tranquilized",
|
| 1599 |
+
"tranquilliser": "tranquilizer",
|
| 1600 |
+
"tranquillisers": "tranquilizers",
|
| 1601 |
+
"tranquillises": "tranquilizes",
|
| 1602 |
+
"tranquillising": "tranquilizing",
|
| 1603 |
+
"tranquillity": "tranquility",
|
| 1604 |
+
"tranquillize": "tranquilize",
|
| 1605 |
+
"tranquillized": "tranquilized",
|
| 1606 |
+
"tranquillizer": "tranquilizer",
|
| 1607 |
+
"tranquillizers": "tranquilizers",
|
| 1608 |
+
"tranquillizes": "tranquilizes",
|
| 1609 |
+
"tranquillizing": "tranquilizing",
|
| 1610 |
+
"tranquilly": "tranquility",
|
| 1611 |
+
"transistorised": "transistorized",
|
| 1612 |
+
"traumatise": "traumatize",
|
| 1613 |
+
"traumatised": "traumatized",
|
| 1614 |
+
"traumatises": "traumatizes",
|
| 1615 |
+
"traumatising": "traumatizing",
|
| 1616 |
+
"travelled": "traveled",
|
| 1617 |
+
"traveller": "traveler",
|
| 1618 |
+
"travellers": "travelers",
|
| 1619 |
+
"travelling": "traveling",
|
| 1620 |
+
"travelog": "travelogue",
|
| 1621 |
+
"travelogs": "travelogues",
|
| 1622 |
+
"trialled": "trialed",
|
| 1623 |
+
"trialling": "trialing",
|
| 1624 |
+
"tricolour": "tricolor",
|
| 1625 |
+
"tricolours": "tricolors",
|
| 1626 |
+
"trivialise": "trivialize",
|
| 1627 |
+
"trivialised": "trivialized",
|
| 1628 |
+
"trivialises": "trivializes",
|
| 1629 |
+
"trivialising": "trivializing",
|
| 1630 |
+
"tumour": "tumor",
|
| 1631 |
+
"tumours": "tumors",
|
| 1632 |
+
"tunnelled": "tunneled",
|
| 1633 |
+
"tunnelling": "tunneling",
|
| 1634 |
+
"tyrannise": "tyrannize",
|
| 1635 |
+
"tyrannised": "tyrannized",
|
| 1636 |
+
"tyrannises": "tyrannizes",
|
| 1637 |
+
"tyrannising": "tyrannizing",
|
| 1638 |
+
"tyre": "tire",
|
| 1639 |
+
"tyres": "tires",
|
| 1640 |
+
"unauthorised": "unauthorized",
|
| 1641 |
+
"uncivilised": "uncivilized",
|
| 1642 |
+
"underutilised": "underutilized",
|
| 1643 |
+
"unequalled": "unequaled",
|
| 1644 |
+
"unfavourable": "unfavorable",
|
| 1645 |
+
"unfavourably": "unfavorably",
|
| 1646 |
+
"unionisation": "unionization",
|
| 1647 |
+
"unionise": "unionize",
|
| 1648 |
+
"unionised": "unionized",
|
| 1649 |
+
"unionises": "unionizes",
|
| 1650 |
+
"unionising": "unionizing",
|
| 1651 |
+
"unorganised": "unorganized",
|
| 1652 |
+
"unravelled": "unraveled",
|
| 1653 |
+
"unravelling": "unraveling",
|
| 1654 |
+
"unrecognisable": "unrecognizable",
|
| 1655 |
+
"unrecognised": "unrecognized",
|
| 1656 |
+
"unrivalled": "unrivaled",
|
| 1657 |
+
"unsavoury": "unsavory",
|
| 1658 |
+
"untrammelled": "untrammeled",
|
| 1659 |
+
"urbanisation": "urbanization",
|
| 1660 |
+
"urbanise": "urbanize",
|
| 1661 |
+
"urbanised": "urbanized",
|
| 1662 |
+
"urbanises": "urbanizes",
|
| 1663 |
+
"urbanising": "urbanizing",
|
| 1664 |
+
"utilisable": "utilizable",
|
| 1665 |
+
"utilisation": "utilization",
|
| 1666 |
+
"utilise": "utilize",
|
| 1667 |
+
"utilised": "utilized",
|
| 1668 |
+
"utilises": "utilizes",
|
| 1669 |
+
"utilising": "utilizing",
|
| 1670 |
+
"valour": "valor",
|
| 1671 |
+
"vandalise": "vandalize",
|
| 1672 |
+
"vandalised": "vandalized",
|
| 1673 |
+
"vandalises": "vandalizes",
|
| 1674 |
+
"vandalising": "vandalizing",
|
| 1675 |
+
"vaporisation": "vaporization",
|
| 1676 |
+
"vaporise": "vaporize",
|
| 1677 |
+
"vaporised": "vaporized",
|
| 1678 |
+
"vaporises": "vaporizes",
|
| 1679 |
+
"vaporising": "vaporizing",
|
| 1680 |
+
"vapour": "vapor",
|
| 1681 |
+
"vapours": "vapors",
|
| 1682 |
+
"verbalise": "verbalize",
|
| 1683 |
+
"verbalised": "verbalized",
|
| 1684 |
+
"verbalises": "verbalizes",
|
| 1685 |
+
"verbalising": "verbalizing",
|
| 1686 |
+
"victimisation": "victimization",
|
| 1687 |
+
"victimise": "victimize",
|
| 1688 |
+
"victimised": "victimized",
|
| 1689 |
+
"victimises": "victimizes",
|
| 1690 |
+
"victimising": "victimizing",
|
| 1691 |
+
"videodisc": "videodisk",
|
| 1692 |
+
"videodiscs": "videodisks",
|
| 1693 |
+
"vigour": "vigor",
|
| 1694 |
+
"visualisation": "visualization",
|
| 1695 |
+
"visualisations": "visualizations",
|
| 1696 |
+
"visualise": "visualize",
|
| 1697 |
+
"visualised": "visualized",
|
| 1698 |
+
"visualises": "visualizes",
|
| 1699 |
+
"visualising": "visualizing",
|
| 1700 |
+
"vocalisation": "vocalization",
|
| 1701 |
+
"vocalisations": "vocalizations",
|
| 1702 |
+
"vocalise": "vocalize",
|
| 1703 |
+
"vocalised": "vocalized",
|
| 1704 |
+
"vocalises": "vocalizes",
|
| 1705 |
+
"vocalising": "vocalizing",
|
| 1706 |
+
"vulcanised": "vulcanized",
|
| 1707 |
+
"vulgarisation": "vulgarization",
|
| 1708 |
+
"vulgarise": "vulgarize",
|
| 1709 |
+
"vulgarised": "vulgarized",
|
| 1710 |
+
"vulgarises": "vulgarizes",
|
| 1711 |
+
"vulgarising": "vulgarizing",
|
| 1712 |
+
"waggon": "wagon",
|
| 1713 |
+
"waggons": "wagons",
|
| 1714 |
+
"watercolour": "watercolor",
|
| 1715 |
+
"watercolours": "watercolors",
|
| 1716 |
+
"weaselled": "weaseled",
|
| 1717 |
+
"weaselling": "weaseling",
|
| 1718 |
+
"westernisation": "westernization",
|
| 1719 |
+
"westernise": "westernize",
|
| 1720 |
+
"westernised": "westernized",
|
| 1721 |
+
"westernises": "westernizes",
|
| 1722 |
+
"westernising": "westernizing",
|
| 1723 |
+
"womanise": "womanize",
|
| 1724 |
+
"womanised": "womanized",
|
| 1725 |
+
"womaniser": "womanizer",
|
| 1726 |
+
"womanisers": "womanizers",
|
| 1727 |
+
"womanises": "womanizes",
|
| 1728 |
+
"womanising": "womanizing",
|
| 1729 |
+
"woollen": "woolen",
|
| 1730 |
+
"woollens": "woolens",
|
| 1731 |
+
"woollies": "woolies",
|
| 1732 |
+
"woolly": "wooly",
|
| 1733 |
+
"worshipped": "worshiped",
|
| 1734 |
+
"worshipper": "worshiper",
|
| 1735 |
+
"worshipping": "worshiping",
|
| 1736 |
+
"yodelled": "yodeled",
|
| 1737 |
+
"yodelling": "yodeling",
|
| 1738 |
+
"yoghourt": "yogurt",
|
| 1739 |
+
"yoghourts": "yogurts",
|
| 1740 |
+
"yoghurt": "yogurt",
|
| 1741 |
+
"yoghurts": "yogurts"
|
| 1742 |
+
}
|
whisper_best_model/preprocessor_config.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chunk_length": 30,
|
| 3 |
+
"dither": 0.0,
|
| 4 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
| 5 |
+
"feature_size": 80,
|
| 6 |
+
"hop_length": 160,
|
| 7 |
+
"n_fft": 400,
|
| 8 |
+
"n_samples": 480000,
|
| 9 |
+
"nb_max_frames": 3000,
|
| 10 |
+
"padding_side": "right",
|
| 11 |
+
"padding_value": 0.0,
|
| 12 |
+
"processor_class": "WhisperProcessor",
|
| 13 |
+
"return_attention_mask": false,
|
| 14 |
+
"sampling_rate": 16000
|
| 15 |
+
}
|
whisper_best_model/special_tokens_map.json
ADDED
|
@@ -0,0 +1,139 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|endoftext|>",
|
| 4 |
+
"<|startoftranscript|>",
|
| 5 |
+
"<|en|>",
|
| 6 |
+
"<|zh|>",
|
| 7 |
+
"<|de|>",
|
| 8 |
+
"<|es|>",
|
| 9 |
+
"<|ru|>",
|
| 10 |
+
"<|ko|>",
|
| 11 |
+
"<|fr|>",
|
| 12 |
+
"<|ja|>",
|
| 13 |
+
"<|pt|>",
|
| 14 |
+
"<|tr|>",
|
| 15 |
+
"<|pl|>",
|
| 16 |
+
"<|ca|>",
|
| 17 |
+
"<|nl|>",
|
| 18 |
+
"<|ar|>",
|
| 19 |
+
"<|sv|>",
|
| 20 |
+
"<|it|>",
|
| 21 |
+
"<|id|>",
|
| 22 |
+
"<|hi|>",
|
| 23 |
+
"<|fi|>",
|
| 24 |
+
"<|vi|>",
|
| 25 |
+
"<|he|>",
|
| 26 |
+
"<|uk|>",
|
| 27 |
+
"<|el|>",
|
| 28 |
+
"<|ms|>",
|
| 29 |
+
"<|cs|>",
|
| 30 |
+
"<|ro|>",
|
| 31 |
+
"<|da|>",
|
| 32 |
+
"<|hu|>",
|
| 33 |
+
"<|ta|>",
|
| 34 |
+
"<|no|>",
|
| 35 |
+
"<|th|>",
|
| 36 |
+
"<|ur|>",
|
| 37 |
+
"<|hr|>",
|
| 38 |
+
"<|bg|>",
|
| 39 |
+
"<|lt|>",
|
| 40 |
+
"<|la|>",
|
| 41 |
+
"<|mi|>",
|
| 42 |
+
"<|ml|>",
|
| 43 |
+
"<|cy|>",
|
| 44 |
+
"<|sk|>",
|
| 45 |
+
"<|te|>",
|
| 46 |
+
"<|fa|>",
|
| 47 |
+
"<|lv|>",
|
| 48 |
+
"<|bn|>",
|
| 49 |
+
"<|sr|>",
|
| 50 |
+
"<|az|>",
|
| 51 |
+
"<|sl|>",
|
| 52 |
+
"<|kn|>",
|
| 53 |
+
"<|et|>",
|
| 54 |
+
"<|mk|>",
|
| 55 |
+
"<|br|>",
|
| 56 |
+
"<|eu|>",
|
| 57 |
+
"<|is|>",
|
| 58 |
+
"<|hy|>",
|
| 59 |
+
"<|ne|>",
|
| 60 |
+
"<|mn|>",
|
| 61 |
+
"<|bs|>",
|
| 62 |
+
"<|kk|>",
|
| 63 |
+
"<|sq|>",
|
| 64 |
+
"<|sw|>",
|
| 65 |
+
"<|gl|>",
|
| 66 |
+
"<|mr|>",
|
| 67 |
+
"<|pa|>",
|
| 68 |
+
"<|si|>",
|
| 69 |
+
"<|km|>",
|
| 70 |
+
"<|sn|>",
|
| 71 |
+
"<|yo|>",
|
| 72 |
+
"<|so|>",
|
| 73 |
+
"<|af|>",
|
| 74 |
+
"<|oc|>",
|
| 75 |
+
"<|ka|>",
|
| 76 |
+
"<|be|>",
|
| 77 |
+
"<|tg|>",
|
| 78 |
+
"<|sd|>",
|
| 79 |
+
"<|gu|>",
|
| 80 |
+
"<|am|>",
|
| 81 |
+
"<|yi|>",
|
| 82 |
+
"<|lo|>",
|
| 83 |
+
"<|uz|>",
|
| 84 |
+
"<|fo|>",
|
| 85 |
+
"<|ht|>",
|
| 86 |
+
"<|ps|>",
|
| 87 |
+
"<|tk|>",
|
| 88 |
+
"<|nn|>",
|
| 89 |
+
"<|mt|>",
|
| 90 |
+
"<|sa|>",
|
| 91 |
+
"<|lb|>",
|
| 92 |
+
"<|my|>",
|
| 93 |
+
"<|bo|>",
|
| 94 |
+
"<|tl|>",
|
| 95 |
+
"<|mg|>",
|
| 96 |
+
"<|as|>",
|
| 97 |
+
"<|tt|>",
|
| 98 |
+
"<|haw|>",
|
| 99 |
+
"<|ln|>",
|
| 100 |
+
"<|ha|>",
|
| 101 |
+
"<|ba|>",
|
| 102 |
+
"<|jw|>",
|
| 103 |
+
"<|su|>",
|
| 104 |
+
"<|translate|>",
|
| 105 |
+
"<|transcribe|>",
|
| 106 |
+
"<|startoflm|>",
|
| 107 |
+
"<|startofprev|>",
|
| 108 |
+
"<|nocaptions|>",
|
| 109 |
+
"<|notimestamps|>"
|
| 110 |
+
],
|
| 111 |
+
"bos_token": {
|
| 112 |
+
"content": "<|endoftext|>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"eos_token": {
|
| 119 |
+
"content": "<|endoftext|>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
},
|
| 125 |
+
"pad_token": {
|
| 126 |
+
"content": "<|endoftext|>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false
|
| 131 |
+
},
|
| 132 |
+
"unk_token": {
|
| 133 |
+
"content": "<|endoftext|>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false
|
| 138 |
+
}
|
| 139 |
+
}
|
whisper_best_model/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
whisper_best_model/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|