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.

You can reach out core contributor Mr Ikram Ali @ https://github.com/akkefa

Our Goal

• Academic users Easier experimentation to prove their hypothesis without coding from scratch.
• NLP beginners Learn how to build an NLP project with production level code quality.
• NLP developers Build a production level application within minutes.

🔥 Features Support

• [x] Normalization
• [x] Preprocessing
• [x] Tokenization
• [x] Pipeline Module
• [x] Models
  • [x] Pos tagger
  • [x] Lemmatizer
  • [x] Name entity recognition
  • [ ] Sentimental analysis
  • [ ] Image to text
  • [ ] Question answering system
• [x] Datasets loader

🛠 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]

Usage

import urduhack

# Downloading models
urduhack.download()

nlp = urduhack.Pipeline()
text = ""
doc = nlp(text)

for sentence in doc.sentences:
    print(sentence.text)
    for word in sentence.words:
        print(f"{word.text}\t{word.pos}")

    for token in sentence.tokens:
        print(f"{token.text}\t{token.ner}")

🔗 Documentation

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

👍 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. [Become a sponsor]

📝 Copyright and license

Code released under the MIT License.