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urduhack 1.1.1
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
Preprocessing
Tokenization
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(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/
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.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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