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Files changed (12) hide show
  1. .gitattributes +1 -0
  2. config.cfg +136 -0
  3. meta.json +36 -0
  4. ner/cfg +13 -0
  5. ner/model +3 -0
  6. ner/moves +1 -0
  7. tokenizer +3 -0
  8. vocab/key2row +1 -0
  9. vocab/lookups.bin +3 -0
  10. vocab/strings.json +1275 -0
  11. vocab/vectors +0 -0
  12. vocab/vectors.cfg +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
config.cfg ADDED
@@ -0,0 +1,136 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["ner"]
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ batch_size = 1000
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+
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+ [corpora]
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+
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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+ before_update = null
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [components]
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+
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+ [pretraining]
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+
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+ [nlp.tokenizer]
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+ @tokenizers = "spacy.Tokenizer.v1"
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+
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+ [nlp.vectors]
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+ @vectors = "spacy.Vectors.v1"
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.train}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 1e-08
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ ents_f = 1.0
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [initialize.tokenizer]
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+
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+ [initialize.components]
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+
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+ [components.ner]
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+ factory = "ner"
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+ moves = null
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+ update_with_oracle_cut_size = 100
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+ incorrect_spans_key = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+
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+ [components.ner.scorer]
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+ @scorers = "spacy.ner_scorer.v1"
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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.HashEmbedCNN.v2"
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+ pretrained_vectors = null
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+ width = 96
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+ depth = 4
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+ embed_size = 2000
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+ window_size = 1
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+ maxout_pieces = 3
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+ subword_features = true
meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"pipeline",
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+ "version":"0.0.0",
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+ "spacy_version":">=3.8.14,<3.9.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_git_version":"0069cf9",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":0,
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+ "name":null,
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+ "mode":"default"
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+ "FILTER_LOCATION",
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+ "FILTER_YEAR",
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+ },
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+ "pipeline":[
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+ "ner"
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+ ],
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+ "components":[
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+ "ner"
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+ ],
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+ "disabled":[
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+
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+ ]
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+ }
ner/cfg ADDED
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+ {
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+ "moves":null,
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+ "update_with_oracle_cut_size":100,
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+ "multitasks":[
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+ ],
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+ "min_action_freq":1,
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+ "learn_tokens":false,
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+ "beam_width":1,
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+ "beam_density":0.0,
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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ner/model ADDED
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tokenizer ADDED
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1021
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1080
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1103
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1160
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1167
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1168
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1169
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1170
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1172
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1173
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1175
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1177
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1178
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1179
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1180
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1181
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1182
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1183
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1188
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1193
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1194
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1195
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1196
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1197
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1198
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1199
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1200
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1202
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1203
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1204
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1205
+ "|",
1206
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1207
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1208
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1209
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1210
+ "\u00af",
1211
+ "\u00af\\(x)/\u00af",
1212
+ "\u00af\\(\u30c4)/\u00af",
1213
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1214
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1215
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1216
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1217
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1218
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1219
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1220
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1221
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1222
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1223
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1224
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1225
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1226
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1227
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1228
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1229
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1230
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1231
+ "\u2014",
1232
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1233
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1234
+ "\u2018X",
1235
+ "\u2018s",
1236
+ "\u2018x",
1237
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1238
+ "\u2019-(",
1239
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1240
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1241
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1242
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1244
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1247
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1248
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1250
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1255
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1262
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1264
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1265
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1266
+ "\u2019y",
1267
+ "\u2019\u2019",
1268
+ "\u2501",
1269
+ "\u253b",
1270
+ "\u253b\u2501\u253b",
1271
+ "\u256f",
1272
+ "\u25a1",
1273
+ "\ufe35",
1274
+ "\uff09"
1275
+ ]
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vocab/vectors.cfg ADDED
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