Rajspeaks/Machine-Learning-approach-to-Bengali-POS-Tagging-using-BNLP

Machine Learning approach to Bengali Corpus POS (Parts of Speech) Tagging using BNLP (Bengali Natural Language Processing) Toolkit. This is the Minor Project Presentation at Heritage Institute of Technology under the mentorship of Prof. Sandipan Ganguly.

28
/ 100
Experimental

This project helps researchers and computational linguists analyze Bengali text by identifying the grammatical role of each word. You provide raw Bengali text, and it categorizes each word as a noun, verb, adjective, etc., making it easier to study sentence structure and meaning. This is ideal for those working on natural language processing tasks specific to the Bengali language.

No commits in the last 6 months.

Use this if you need to automatically identify the parts of speech in Bengali text for linguistic analysis or further text processing.

Not ideal if your primary need is for languages other than Bengali, as its core functionality is specialized.

Bengali linguistics natural language processing text analysis computational linguistics corpus research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

May 05, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Rajspeaks/Machine-Learning-approach-to-Bengali-POS-Tagging-using-BNLP"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.