Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)
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Updated
Oct 17, 2022 - Python
Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)
Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية
Pre-process arabic text (remove diacritics, punctuations and repeating characters)
Arabic Open Domain Question Answering System using Neural Reading Comprehension
Arabic support for textblob
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.
تجميعة من المشاريع، وخصوصا مفتوحة المصدر، للنهوض باللغة العربية والأمة. 👨💻 👨🔬👨🏫🧕
A Python implementation of Farasa toolkit
Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.
Maha is a text processing library specially developed to deal with Arabic text.
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
Arabic NLP tool used to perform Text Search, POS tagging, Translation, auto-diacritization, etc..
Several deep learning models for restoring Arabic diacritics using Pytorch.
Arabic NER system with a strong performance
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.
Arabic text documents classified using SVM, k-nn and Naive bayes classifers.
Arabic cleaning, normalization and segmentation library.
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