Skip to main content

Natural Language Processing (NLP) library for Urdu language.

Project description

Urduhack-lite: A lighter Urduhack

Unless otherwise mentioned, ALL code is taken directly from the original Urduhack library. This is merely a stripped down version of the original.

For more information, refer to the original library.

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

Features Support

  • Normalization
  • Preprocessing
  • Tokenization
    • Sentence tokenization
    • Word tokenization
  • Pipeline Module
  • Models
    • Pos tagger
    • Lemmatizer
    • Name entity recognition
    • Sentimental analysis
    • Image to text
    • Question answering system
  • Datasets loader

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

urduhack_lite-0.2.0-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file urduhack_lite-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: urduhack_lite-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.1

File hashes

Hashes for urduhack_lite-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7e4ac7ac9cea74d28fa9004f7807c5e4c6b1495596316405adcd4f1c4f9c78de
MD5 5ca030754ea981cea2849465aa59e411
BLAKE2b-256 4d5b88340fa642704b602cb13dc13c00a2cca2c143fb8152a1a30c24d7e3b4fe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page