Metadata-Version: 2.1
Name: urduhack
Version: 1.0.2
Summary: Natural Language Processing (NLP) library for Urdu language.
Home-page: https://github.com/urduhack/urduhack
Author: Ikram Ali
Author-email: mrikram1989@gmail.com
License: MIT License
Project-URL: Documentation, https://urduhack.readthedocs.io/en/stable/
Project-URL: Source, https://github.com/urduhack/urduhack
Project-URL: Bug Tracker, https://github.com/urduhack/urduhack/issues
Description: # Urduhack: A Python NLP library for Urdu language
        
        [![image](https://img.shields.io/pypi/pyversions/urduhack.svg)](https://pypi.org/project/urduhack/)
        [![image](https://img.shields.io/pypi/v/urduhack.svg)](https://pypi.org/project/urduhack/)
        [![Azure DevOps builds](https://img.shields.io/azure-devops/build/urduhack/urduhack/1?logo=azure-pipelines)](https://dev.azure.com/Urduhack/Urduhack/_build?definitionId=1)
        [![Azure DevOps tests](https://img.shields.io/azure-devops/tests/urduhack/urduhack/1?logo=azure-pipelines)](https://dev.azure.com/Urduhack/Urduhack/_build?definitionId=1)
        [![Build Status](https://img.shields.io/travis/urduhack/urduhack?label=linux%20build&logo=travis)](https://travis-ci.org/urduhack/urduhack)
        [![CodeFactor](https://www.codefactor.io/repository/github/urduhack/urduhack/badge)](https://www.codefactor.io/repository/github/urduhack/urduhack)
        [![codecov](https://codecov.io/gh/urduhack/urduhack/branch/master/graph/badge.svg)](https://codecov.io/gh/urduhack/urduhack)
        [![image](https://img.shields.io/github/contributors/urduhack/urduhack.svg)](https://github.com/urduhack/urduhack/graphs/contributors)
        [![Downloads](https://pepy.tech/badge/urduhack)](https://pepy.tech/project/urduhack)
        [![Gitter](https://badges.gitter.im/urduhack/urduhack.svg)](https://gitter.im/urduhack/urduhack?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
        [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/urduhack/urduhack/blob/master/LICENSE)
        
        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
        -------------------
        - [x] Normalization
        - [x] Tokenization
        - [x] Preprocessing
        - [x] Pipeline Module
        - [x] Models
          - [x] Pos tagger
          - [ ] Sentimental analysis
          - [ ] Sentence classification
          - [ ] Documents classification
          - [ ] Name entity recognition
          - [ ] Image to text
          - [ ] Speech to text
        - [x] Datasets loader
        
        🛠 Installation
        ---------------
        Urduhack officially supports Python 3.6–3.7, and runs great on PyPy.
        
        Installing with tensorflow cpu version.
        ``` {.sourceCode .bash}
        $ pip install urduhack[tf]
        ```
        
        Installing with tensorflow gpu version.
        ``` {.sourceCode .bash}
        $ pip install urduhack[tf-gpu]
        ```
        
        Usage
        -----
        
        ```python
        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.                     |
        
        [Installation]: https://urduhack.readthedocs.io/en/stable/installation.html
        [Quickstart]: https://urduhack.readthedocs.io/en/stable/quickstart/index.html
        [Api reference]: https://urduhack.readthedocs.io/en/stable/reference/index.html
        
        
        
        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](https://github.com/urduhack/urduhack/issues)
            tag for issues that should be ideal for people who are not very
            familiar with the codebase yet.
        3.  Write a test which shows that the bug was fixed or that the feature
            works as expected.
        4.  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 [![Backers on Open Collective](https://opencollective.com/urduhack/backers/badge.svg)](#backers)
        ---------------------------------------------------------------------------------------------------------
        Thank you to all our backers! 🙏 [[Become a backer](https://opencollective.com/urduhack#backer)]
        <a href="https://opencollective.com/urduhack#backers" target="_blank"><img src="https://opencollective.com/urduhack/backers.svg?width=890"></a>
        
        Sponsors [![Sponsors on Open Collective](https://opencollective.com/urduhack/sponsors/badge.svg)](#sponsors)
        ------------------------------------------------------------------------------------------------------------
        Support this project by becoming a sponsor. [[Become a sponsor](https://opencollective.com/urduhack#sponsor)]
        <a href="https://opencollective.com/urduhack/sponsor/0/website" target="_blank"><img src="https://opencollective.com/urduhack/sponsor/0/avatar.svg"></a>
        <a href="https://opencollective.com/urduhack/sponsor/1/website" target="_blank"><img src="https://opencollective.com/urduhack/sponsor/1/avatar.svg"></a>
        
        📝 Copyright and license
        ------------------------
        Code released under the [MIT License](ttps://github.com/urduhack/urduhack/blob/master/LICENSE).
Keywords: urdu machine learning text pre-processing tensorflow nlp
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Natural Language :: Urdu
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >= 3.6
Description-Content-Type: text/markdown
Provides-Extra: tf
Provides-Extra: tf-gpu
