https://github.com/rajspeaks/machine-learning-approach-to-bengali-pos-tagging-using-nltk

Bengali POS Tagging using Indian Corpus through NLTK. A sample testing to apply POS Tagging under the supervision of Prof. Sandipan Ganguly, HIT-K.
https://github.com/rajspeaks/machine-learning-approach-to-bengali-pos-tagging-using-nltk

bangla-pos-tagging bangla-postag bengali bengali-natural-language-processing bengali-nlp bengali-pos-tagging indian-language machine-learning natural-language-processing nlp nltk pos-tagger pos-tagging rajdeep-das rajspeaks

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Bengali POS Tagging using Indian Corpus through NLTK. A sample testing to apply POS Tagging under the supervision of Prof. Sandipan Ganguly, HIT-K.

• Host: GitHub
• URL: https://github.com/rajspeaks/machine-learning-approach-to-bengali-pos-tagging-using-nltk
• Owner: Rajspeaks
• License: gpl-3.0
• Created: 2022-01-26T16:32:21.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-02T06:30:28.000Z (over 2 years ago)
• Last Synced: 2023-03-09T04:51:59.942Z (almost 2 years ago)
• Topics: bangla-pos-tagging, bangla-postag, bengali, bengali-natural-language-processing, bengali-nlp, bengali-pos-tagging, indian-language, machine-learning, natural-language-processing, nlp, nltk, pos-tagger, pos-tagging, rajdeep-das, rajspeaks
• Language: Jupyter Notebook
• Homepage:
• Size: 76.2 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning approach to Bengali POS Tagging using NLTK on Indian-Corpus

Indian corpus is a collection of these Indian Languages: Bengali, Hindi, Marathi, and Telugu language data. 

NLTK is Natural Language Toolkit Library.

## Methodology

- Here I have imported NLTK(Natural Language Tool Kit). 

- Imported indian corpus from NLTK.

- Stored that Indian Corpus into 'bangla.pos'. 

- 'bangla.pos' has been stored in a variable 'tagged_set'.

- Stored the bengali sentences from bengali corpus into 'word_set' variable.

- Using for loop to count the number of sentences, present in that corpus. 

## Tools & Library requirements:

- Google Colab/Jupyter

- Language: Python

- NLTK Library

## Mentor:

Prof. Sandipan Ganguly

## Developer:

Rajdeep Das

### Reference:

[Click here](https://medium.com/analytics-vidhya/bengali-pos-part-of-speech-tagging-using-indian-corpus-e85f47d3ad65) to read the source article.