A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
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Updated
Sep 25, 2024 - Python
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic
Fine-tune BERT models to classify Arabic text by different dialects.
Egyptian / Modern Standard Arabic language identification system
Multi-turn open-domain Arabic chatbot with a wide set of features.
DiaLex - A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
Nuanced Arabic Dialect Identification Shared Tasks (NADI) 2020 and 2021
Arabic Dialect Identification between 18 country-level Arabic dialects using QADI dataset and pretrained language model AraBERT
using AraBert to classify different Arabic dialects. ranked fourth in WANLP2020 workshop.
domain-independent multi-dialect Arabic stop words
We utilized a pre-trained model to classify Arabic text. After conducting extensive research, we found that MarBERT was the best model for classifying Arabic offensive tweets. It focuses on dialectal Arabic (DA) and Modern Standard Arabic (MSA). The competition involves two shared sub-tasks: detecting whether a tweet is offensive or not; and det…
A machine learning/deep learning approach to classify the dialect of arabic text.
A light stemmer for MDA (Moroccan Dialect Arabic) based on BPE (Byte Pair Encoding) algorithm implemented with Typescript
the backend for Qamous
The "عربي - Franko" Chrome extension is designed to provide translation services between Franko text and Arabic. It enables users to easily translate text from Franko to Arabic and vice versa.
Named Entity Recognition project for Algerian Dialect
The codebase for the "ALDi: Quantifying the Arabic Level of Dialectness of Text" paper accepted to EMNLP 2023.
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