Natural Language Processing of Arabic and its Dialects
Abstract
This tutorial introduces the different challenges and current solutions to the automatic processing of Arabic and its dialects. The tutorial has two parts: First, we present a discussion of generic issues relevant to Arabic NLP and detail dialectal linguistic issues and the challenges they pose for NLP. In the second part, we review the state-of-the-art in Arabic processing covering several enabling technologies and applications, e.g., dialect identification, morphological processing (analysis, disambiguation, tokenization, POS tagging), parsing, and machine translation.- Anthology ID:
- D14-2007
- Volume:
- Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
- Month:
- October
- Year:
- 2014
- Address:
- Doha, Qatar
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/D14-2007
- DOI:
- Cite (ACL):
- Mona Diab and Nizar Habash. 2014. Natural Language Processing of Arabic and its Dialects. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, Doha, Qatar. Association for Computational Linguistics.
- Cite (Informal):
- Natural Language Processing of Arabic and its Dialects (Diab & Habash, EMNLP 2014)