Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)

Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

تجميعة من المشاريع، وخصوصا مفتوحة المصدر

Maha is a text processing library specially developed to deal with Arabic text.

Arabic Open Domain Question Answering System using Neural Reading Comprehension

A Python implementation of Farasa toolkit

Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.

Pre-process arabic text (remove diacritics, punctuations and repeating characters)

Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning.

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

Arabic NLP tool used to perform Text Search, POS tagging, Translation, auto-diacritization, etc..

Arabic support for textblob

Arabic cleaning, normalization and segmentation library.

TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).

Code and models for "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models". EACL 2021, WANLP.

This is a diacritization model for Arabic language. This model was built/trained using the Tashkeela: the Arabic diacritization corpus on Kaggle

Arabic Stop Word List

Several deep learning models for restoring Arabic diacritics using Pytorch.

Arabic NER system with a strong performance

Comparable documents miner: Arabic-English morphological analysis, text processing, n-gram features extraction, POS tagging, dictionary translation, documents alignment, corpus information, text classification, tf-idf computation, text similarity computation, html documents cleaning