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Parsing Arabic Dialects

Rambow, Owen C.; Chiang, David; Diab, Mona T.; Habash, Nizar Y.; Shareef, Safiullah

The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as parsers. In this paper, we address the problem of parsing transcribed spoken Levantine Arabic (LA). We do not assume the existence of any annotated LA corpus (except for development and testing), nor of a parallel corpus LA-MSA. Instead, we use explicit knowledge about the relation between LA and MSA.


More About This Work

Academic Units
Computer Science
Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics
Published Here
June 30, 2013
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