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A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Code, models, and data for "Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation". EMNLP 2023.
Romanizing Arabic bibliographic records in the ALA-LC standard.
Camel Morph’s goal is to build large open-source morphological models for Arabic and its dialects across many genres and domains.
Camel Morph’s goal is to build large open-source morphological models for Arabic and its dialects across many genres and domains.
This page will have the latest updates on the different components from CAMeL Tools.
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Code, models, and data for "A Bilingual Bimodal Benchmark for Arabic-English NLP Across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition". LREC 2026
CamelParser-Dialects is a state-of-the-art dependency parsing model for dialectal Arabic.
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