| # For your information |
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| Written by Ye Kyaw Thu, LU Lab., Myanmar |
| Last updated: 31 Jan 2024 |
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| Filename: exp.sh |
| This shell script builds all language profiles and performs detection. It demonstrates how to build and detect languages using all the detection approaches I have implemented. |
| Note: Completing this process will take some time. |
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| ## Approach: Character+Syllable Frequency |
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| build_profile_with_char_syl_freq.sh |
| detect_with_char_syl_freq.sh |
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| ## Approach: Character+Syllable Ngram with Bayes |
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| build_profile_with_char_syl_ngram.sh |
| detect_with_char_syl_ngram.sh |
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| ## Approach: Word2Vec, FastText Embedding |
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| build_profile_with_embeddings.sh |
| detect_with_embedding.sh |
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| ## Approach: FastText Classifier |
| train_with_fasttext_classifier.sh |
| detect_with_fasttext.sh |
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| ## Approach: Neural Network Modeling |
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| train_with_nerual.sh |
| detect_with_neural.sh |
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| ## Folder Information |
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| (base) ye@lst-gpu-3090:~/exp/myNLP/lang_detect$ tree . -d -L 1 |
| . |
| ├── char_syl_freq |
| ├── char_syl_ngram |
| ├── data |
| ├── embedding |
| ├── fasttext_class |
| ├── log |
| ├── neural |
| ├── preprocess |
| ├── profile |
| ├── tmp |
| └── tool |
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| 11 directories |
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| Here, |
| - The 'char_syl_freq/' folder contains the 'char_syl_freq' module. |
| - The 'char_syl_ngram/' folder contains the 'char_syl_ngram' module. |
| - The 'data/' folder holds the data used for building Myanmar language profiles and for detection. |
| - The 'embedding/' folder includes modules for word embeddings (e.g., word2vec, fasttext). |
| - The 'fasttext_class' folder contains the FastText classification module. |
| - The 'log/' folder stores log files for building and detecting using all six approaches. |
| - The 'neural/' folder contains the neural network-based language detection module. |
| - The 'preprocess/' folder includes various preprocessing scripts. |
| - The 'profile/' folder holds built language profiles for Bamar (Myanmar language), Beik, Dawei, Mon, Pao, Po Kayin, Rakhine, Sgaw Kayin, and Shan. |
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