GithubHelp home page GithubHelp logo

ml-ai-nlp-ir / indic_nlp_library Goto Github PK

View Code? Open in Web Editor NEW

This project forked from anoopkunchukuttan/indic_nlp_library

0.0 2.0 0.0 9.21 MB

Resources and tools for Indian language Natural Language Processing

Home Page: http://anoopkunchukuttan.github.io/indic_nlp_library/

License: GNU General Public License v3.0

Python 90.87% Jupyter Notebook 9.13%

indic_nlp_library's Introduction

Indic NLP Library

The goal of the Indic NLP Library is to build Python based libraries for common text processing and Natural Language Processing in Indian languages. Indian languages share a lot of similarity in terms of script, phonology, language syntax, etc. and this library is an attempt to provide a general solution to very commonly required toolsets for Indian language text.

The library provides the following functionalities:

  • Text Normalization
  • Script Information
  • Tokenization
  • Word Segmentation
  • Script Conversion
  • Romanization
  • Indicization
  • Transliteration
  • Translation

The data resources required by the Indic NLP Library are hosted in a different repository. These resources are required for some modules. You can download from the Indic NLP Resources project.

Pre-requisites

Configuration

  • Add the project to the Python Path:

    export PYTHONPATH=$PYTHONPATH:<project base directory>/src

  • Export the path to the Indic NLP Resources directory

    export INDIC_RESOURCES_PATH=<path to Indic NLP resources>

Usage

Website

http://anoopkunchukuttan.github.io/indic_nlp_library

Author

Anoop Kunchukuttan ( [email protected] )

Version: 0.3

Revision Log

0.3 : 21 Oct 2014: Supports morph-analysis between Indian languages

0.2 : 13 Jun 2014: Supports transliteration between Indian languages and tokenization of Indian languages

0.1 : 12 Mar 2014: Initial version. Supports text normalization.

LICENSE

Copyright Anoop Kunchukuttan 2013 - present

Indic NLP Library is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Indic NLP Library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with Indic NLP Library. If not, see http://www.gnu.org/licenses/.

indic_nlp_library's People

Contributors

anoopkunchukuttan avatar ankunchu avatar

Watchers

Apurv Verma avatar James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.