A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
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Updated
Dec 22, 2022 - 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
Multi-turn open-domain Arabic chatbot with a wide set of features.
Nuanced Arabic Dialect Identification Shared Tasks (NADI) 2020 and 2021
domain-independent multi-dialect Arabic stop words
Egyptian / Modern Standard Arabic language identification system
DiaLex - A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
Arabic Dialect Identification between 18 country-level Arabic dialects using QADI dataset and pretrained language model AraBERT
A light stemmer for MDA (Moroccan Dialect Arabic) based on BPE (Byte Pair Encoding) algorithm implemented with Typescript
A machine learning/deep learning approach to classify the dialect of arabic text.
using AraBert to classify different Arabic dialects. ranked fourth in WANLP2020 workshop.
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…
Named Entity Recognition project for Algerian Dialect
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