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bnaug
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Bangla Text Augmentation
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bnaug
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# bnaug (Bangla Text Augmentation) __bnaug__ is a text augmentation tool for Bangla text. ## Installation ``` pip install bnaug ``` - Dependencies - pytorch >=1.7.0 ## Demo Notebook - [bnaug demo](https://github.com/sagorbrur/bnaug/blob/main/notebook/bnaug_demo.ipynb) ## Necessary Model Links - [word2vec](https://huggingface.co/sagorsarker/bangla_word2vec/resolve/main/bangla_word2vec_gen4.zip) - [glove vector](https://huggingface.co/sagorsarker/bangla-glove-vectors/resolve/main/bn_glove.300d.zip) ## Sentence Augmentation ### Token Replacement - Mask generation based augmentation ```py from bnaug.sentence import TokenReplacement tokr = TokenReplacement() text = "আমি ঢাকায় বাস করি।" output = tokr.masking_based(text, sen_n=5) ``` - Word2Vec based augmentation ```py from bnaug.sentence import TokenReplacement tokr = TokenReplacement() text = "আমি ঢাকায় বাস করি।" model = "msc/bangla_word2vec/bnwiki_word2vec.model" output = tokr.word2vec_based(text, model=model, sen_n=5, word_n=5) print(output) ``` - Glove based augmentation ```py from bnaug.sentence import TokenReplacement tokr = TokenReplacement() text = "আমি ঢাকায় বাস করি।" vector = "msc/bn_glove.300d.txt" output = tokr.glove_based(text, vector_path=vector, sen_n=5, word_n=5) print(output) ``` ### Back Translation Back translation based augmentation first translate Bangla sentence to English and then again translate the English to Bangla. ```py from bnaug.sentence import BackTranslation bt = BackTranslation() text = "বাংলা ভাষা আন্দোলন তদানীন্তন পূর্ব পাকিস্তানে সংঘটিত একটি সাংস্কৃতিক ও রাজনৈতিক আন্দোলন। " output = bt.get_augmented_sentences(text) print(output) ``` ### Text Generation - Paraphrase generation ```py from bnaug.sentence import TextGeneration tg = TextGeneration() text = "বিমানটি যখন মাটিতে নামার জন্য এয়ারপোর্টের কাছাকাছি আসছে, তখন ল্যান্ডিং গিয়ারের খোপের ঢাকনাটি খুলে যায়।" output = tg.parapharse_generation(text) print(output) ``` ### Random Augmentation - Random remove part and generate new sentence At present it's removing word, stopwords, punctuations, numbers and generate new sentences ```py from bnaug.sentence import RandomAugmentation raug = RandomAugmentation() sentence = "আমি ১০০ বাকি দিলাম" output = raug.random_remove(sentence) print(output) ``` or apply individually ```py from bnaug import randaug text = "১০০ বাকি দিলাম" output = randaug.remove_digits(text) print(output) text = "১০০! বাকি দিলাম?" output = randaug.remove_punctuations(text) print(output) text = "আমি ১০০ বাকি দিলাম" randaug.remove_stopwords(text) print(output) text = "আমি ১০০ বাকি দিলাম" randaug.remove_random_word(text) print(output) text = "আমি ১০০ বাকি দিলাম" randaug.remove_random_char(text) print(output) ``` ## Inspired from - [nlpaug](https://github.com/makcedward/nlpaug) - [amitness blog post](https://amitness.com/2020/05/data-augmentation-for-nlp/)
