NLP Models for the Urdu language.

Collection of pretrained ML and NLP models for the Urdu language.

Table of contents

• Word2vec Models
• Bugs and feature requests
• Contributors
• Sponsors
• Copyright and license

Word2vec Models

Word2vec is a widely used for learns relationships between words and converting word into vector.

Web News model

• Trained on 50,000 web news posts.
• Semantic Accuracy: 36.89%
• Syntactic Accuracy: 31.25%
• Demo (https://github.com/urduhack/models/blob/master/word-vectors/word2vec/web_news_data)

Wikipedia model

• Trained on whole wikipedia corpus.
• Semantic Accuracy: 59.59%
• Syntactic Accuracy: 37.50%
• Demo (https://github.com/urduhack/models/blob/master/word-vectors/word2vec/wikipedia)

Bugs and feature requests

Have a bug or a feature request? If you wish to remove or update some of the features, please file an issue first before sending a PR on the repo. please open a new issue.

Contributors

Special thanks to everyone who contributed to getting the Urdu hack models to the current state

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.