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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

pip install aamraz

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.
~ 2.3 GB
FastText WordEmbedding - Lite Model trained using FastText method on our own Corpus.
This is bot the fasttext & skip-gram model itself (fasttext model.
~ 800 MB

Usage

import aamraz

model_path = 'kurdish_fasttext_skipgram_dim300_v1.bin'
embedding_model = aamraz.EmbeddingModel(model_path)

sample_word="ئامراز"
sample_sentence="زوانی له در بره"

word_vector = embedding_model.word_embedding(sample_word)
sentence_vector = embedding_model.sentence_embedding(sample_sentence)

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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/

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