2006 Presentations (Communicative Events)
Parsing Arabic Dialects
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.
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Files
- chiang_al_06.pdf application/pdf 86.7 KB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics
- Published Here
- June 30, 2013