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https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-tokenization-stemming-pos-tagging-using-bnltk
Machine Learning approach to Bengali Corpus POS Tagging using BNLTK. This is an experimenting project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-tokenization-stemming-pos-tagging-using-bnltk
bengali bengali-dataset bengali-language-processing bengali-natural-language-processing bengali-nlp english machine-learning natural-language-processing natural-language-understanding nlp nlp-library nlp-machine-learning postagger postagging rajdeep-das rajspeaks stemmer stemming tokenizer-parser
Last synced: 14 days ago
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Machine Learning approach to Bengali Corpus POS Tagging using BNLTK. This is an experimenting project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
- Host: GitHub
- URL: https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-tokenization-stemming-pos-tagging-using-bnltk
- Owner: Rajspeaks
- License: gpl-3.0
- Created: 2022-03-25T11:25:20.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-05-02T06:28:13.000Z (over 2 years ago)
- Last Synced: 2024-10-08T17:03:15.576Z (about 1 month ago)
- Topics: bengali, bengali-dataset, bengali-language-processing, bengali-natural-language-processing, bengali-nlp, english, machine-learning, natural-language-processing, natural-language-understanding, nlp, nlp-library, nlp-machine-learning, postagger, postagging, rajdeep-das, rajspeaks, stemmer, stemming, tokenizer-parser
- Language: Jupyter Notebook
- Homepage:
- Size: 78.1 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0