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)
A Python implementation of Farasa toolkit
Arabic_Dialect_Identification_NLP-AIM-Task
This project uses deep learning and machine learning models to classify text sentiment as Positive or Negative. The models were trained for English and Arabic to ensure high accuracy for each language.
Simple Script to undo Farasa Segmentation, compatible with AraBERT pre-segmentation
Web interface for far-speech demo to be present in INTERSPEECH 2019
An AI-powered platform for comparative analysis of Arabic NLP tools with intelligent fusion, evaluation, and linguistic analysis.
vatiety of NLP projects
Hate Speech Detection in Arabic Using NLP
Project for my thesis where i utilise the HARD arabic dataset do pre processing on it then compare autoML tuned hyperparameters vs a default non-tuned option
Practice Arabic directly in your browser with a clean, clutter-free trainer focused on effective language study.
To associate your repository with the farasa topic, visit your repo's landing page and select "manage topics."