urduhack 0.3.3

Natural Language Processing (NLP) library for Urdu language.

Urduhack: A Python NLP library for Urdu language

Urduhack is a NLP library for urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

🔥 Features Support

• Normalization
  • Arabic and Urdu Unicode Redundancy Problem
  • Character Normalization
  • Combined Characters Normalization
  • Diacritics Removal
  • Spaces Before & After Digits
  • Spaces After Punctuations
  • Joined Words Fix
• Tokenization
  • Sentence Tokenization
  • Words Tokenization
• Data Pre-processing
  • Handles all kind of numbers, emails, currencies and urls etc.
• Tasks
  • Sentimental analysis
  • Sentence classification
  • Documents classification
  • Name entity recognition
  • Image to text
  • Speech to text
• Datasets
  • IMDB Urdu movies review dataset
  • Hand written digits datasets

🛠 Installation

Urduhack officially supports Python 3.6–3.7, and runs great on PyPy.

Installing with tensorflow cpu version.

$ pip install urduhack[tf]

Installing with tensorflow gpu version.

$ pip install urduhack[tf-gpu]

🔗 Documentation

Fantastic documentation is available at https://urduhack.readthedocs.io/

Documentation
Installation	How to install Urduhack and download models
Quickstart	New to Urduhack? Here's everything you need to know!
API Reference	The detailed reference for Urduhack's API.

How to Contribute

1. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug. There is a Contributor Friendly tag for issues that should be ideal for people who are not very familiar with the codebase yet.
2. Write a test which shows that the bug was fixed or that the feature works as expected.
3. Send a pull request and bug the maintainer until it gets merged and published. :)

👍 Contributors

Special thanks to everyone who contributed to getting the UrduHack to the current state.

Backers

Thank you to all our backers! 🙏 [Become a backer]

Sponsors

Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [Become a sponsor]

📝 Copyright and license

Code released under the MIT License.