Research output per year
Research output per year
Personal profile
Research Interests
Aritificial Intelligence, Natural Language Processing, Computational Linguistics, Arabic, Dialects, Computational Morphology, Syntactic Parsing, Machine Translation, Linguistic and Aritificial Intelligence Resource Development.
Research and Resources are on the Computational Approaches to Modeling Language (CAMeL) Lab page.
Personal profile
Nizar Habash is an Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD). Professor Habash specializes in natural language processing and computational linguistics. Before joining NYUAD, he was a research scientist at Columbia University's Center for Computational Learning Systems. His research includes extensive work on machine translation, morphological analysis, and computational modeling of Arabic and its dialects. Professor Habash has been a principal investigator or co-investigator on over 20 grants. And he has over 150 publications including a book entitled "Introduction to Arabic Natural Language Processing". His website is www.nizarhabash.com.
Publications
Publications on Google Scholar.
Teaching
Expertise
Aritificial Intelligence, Natural Language Processing, Computational Linguistics, Arabic Language Processing.
Education/Academic qualification
Computer Science, PhD, Generation-Heavy Hybrid Machine Translation, University of Maryland, College Park
Sep 1 1997 → May 31 2003
Award Date: May 31 2003
Computer Engineering, B.S., Old Dominion University
Jan 1 1992 → May 31 1997
Award Date: May 31 1997
Linguistics and Languages, B.A., Old Dominion University
Jan 1 1992 → May 31 1997
Award Date: May 31 1997
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Weighted list of dominant concepts in the person's research.
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Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Hamed, I., Hussein, A., Chellah, O., Chowdhury, S., Mubarak, H., Sitaram, S., Habash, N. & Ali, A., 2023, 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 999-1005 7 p. (2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
Eddine, M. K., Tomeh, N., Habash, N., Le Roux, J. & Vazirgiannis, M., 2022, WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 31-42 12 p. (WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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AraSAS: The Open Source Arabic Semantic Tagger
El-Haj, M., Rayson, P., de Souza, E., Khallaf, N. & Habash, N., 2022, 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022. Al-Khalifa, H., Elsayed, T., Mubarak, H., Al-Thubaity, A., Magdy, W. & Darwish, K. (eds.). European Language Resources Association (ELRA), p. 23-31 9 p. (5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
Hamed, I., Habash, N., Abdennadher, S. & Vu, N. T., 2022, WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 119-130 12 p. (WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bilingual writers and corpus analysis
Habash, N. & Palfreyman, D. M., Dec 23 2022, Taylor and Francis. 298 p.Research output: Book/Report › Book