Skip to main content

A Bangla Toolkit for natural language processing (NLP)

Project description

Author 1: Md Istiak Tanvir - eruddro@gmail.com

Author 2: Asma Akter - asmaul9377@gmail.com

Author 3: Md Tanvirul Islam - tanvirulislam.cse@diu.edu.bd

BanglaNLP

Banglanlp is an innovative toolkit designed for Natural Language Processing (NLP) applications in Bangla language. The one of the focus of this package is on stemming—transforming inflected or derived Bangla words back to their root forms. This package utilizes a unique, algorithmically efficient approach to ensure accurate root detection across a wide range of Bangla words, making it a powerful tool for Bangla language processing tasks.

Features Efficient Stemming: Built with an optimized algorithm for fast and accurate stemming of Bangla words. Flexible Dataset Support: Supports customizable datasets for dynamic, versatile use across NLP applications. Additional NLP Functions: Designed to accommodate future Bangla NLP functions such as stop word removal, tokenization, and more. Cross-Platform Compatibility: Works seamlessly on major operating systems. Installation Install the package using pip:

bash pip install banglanlp

Usage Here’s a basic example of how to use Banglanlp for stemming:

python from banglanlp.rootfinder import bstem

Sample word for stemming

word = "ফুটবলটি খুব দেখতে চমৎকারই ছিল " root_word = bstem(word) print("Root form:", root_word)

Future Scope In future updates, more functionalities will be added to make Banglanlp a comprehensive toolkit for Bangla language NLP, including syntax parsing, sentiment analysis, and more.

License This project is licensed under the MIT License, making it freely accessible and open to contributions.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

banglanlp-0.1.2.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

banglanlp-0.1.2-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file banglanlp-0.1.2.tar.gz.

File metadata

  • Download URL: banglanlp-0.1.2.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for banglanlp-0.1.2.tar.gz
Algorithm Hash digest
SHA256 652439bda0ac0d3956f5d73b9f0f191cfad61d8441e150d7a66205387b232929
MD5 4a282b13ddacb6dddd753c6c746b75a7
BLAKE2b-256 f97f3268fa7b7c6d5753a536ed7eda6445be94fd292ec135a8e7c1998917f93c

See more details on using hashes here.

File details

Details for the file banglanlp-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: banglanlp-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for banglanlp-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6a89582d080fbd5fa9ae0deeabb72445cfef2aaa7138fd64444d1d992e19f3ee
MD5 15a17f3702e674321974f93353366c81
BLAKE2b-256 7783514c28f6a0812e18e94bebf49ffb7db980dfedf53c64bb2ceb45c21a887a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page