Skip to main content

This project is a collection of Natural Language Processing tools for Kurdish Language.

Project description

Aamraz - Kurdish NLP collection

Overview

Aamraz which is written "ئامراز" in kurdish script means "instrument". This project is a collection of Natural Language Processing tools for Kurdish Language.

Base Features

  • Word Embedding: Creates vector representations of words.

Tools

Installation

PretrainedModels

some useful pre-trained Models:

Model Description Size
FastText WordEmbedding Model trained using FastText method on our own Corpus.
This is bot the fasttext & skip-gram model itself (fasttext model.
~ 5 GB
FastText WordEmbedding - Lite Model trained using FastText method on our own Corpus.
This is bot the fasttext & skip-gram model itself (fasttext model.
~ 5 GB

Usage

Creative Commons Attribution 4.0 International (CC BY 4.0)

This license lets others distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation.

To view a copy of this license, visit: https://creativecommons.org/licenses/by/4.0/

Project details


Download files

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

Source Distribution

aamraz-0.0.1.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

aamraz-0.0.1-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file aamraz-0.0.1.tar.gz.

File metadata

  • Download URL: aamraz-0.0.1.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for aamraz-0.0.1.tar.gz
Algorithm Hash digest
SHA256 02abfecdb8155442598986ba275d12229400ffbdf739227742a00f9748dfb988
MD5 9388005691888f20b22ba9d5abd58b6d
BLAKE2b-256 d36fe95397da3acce0915bc5b1128548a90cf3534330e5718c20f029fbe9a3d0

See more details on using hashes here.

File details

Details for the file aamraz-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: aamraz-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for aamraz-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 658269cfdfbaade0f84562b6fa32f49d77985a21ae0ccff8a5de0925ebfa35fd
MD5 73892b2a306e8ce3cb30410c7f653762
BLAKE2b-256 55ef3858f2a24da29ef4a7b99db4dfe2f92e45d434c7176607926ab5192bf8b9

See more details on using hashes here.

Supported by

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