Natural Language Processing (NLP) library for Urdu language.
Project description
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.
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
- Normalization
- Tokenization
- Preprocessing
- Pipeline Module
- Models
- Pos tagger
- Sentimental analysis
- Sentence classification
- Documents classification
- Name entity recognition
- Image to text
- Speech to text
- 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(word)
🔗 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
- 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.
- Write a test which shows that the bug was fixed or that the feature works as expected.
- 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. [Become a sponsor]
📝 Copyright and license
Code released under the MIT License.
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