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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