Work

Parsing Arabic Dialects

Year: 2006

Type: article

Abstract: 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.

Source: Columbia Academic Commons (Columbia University)

DOI: 10.7916/d85t3tzg

Authors: Habash, Nizar Y., Rambow, Owen C., Chiang, David, Diab, Mona T., Hwa, Rebecca, Sima'an, Khalil, Lacey, Vincent, Levy, Roger, Nichols, Carol, Shareef, Safiullah

Institutions: University of Southern California, Columbia University, Johns Hopkins University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1957504465

FWCI: 5.337

Cites: 30

Cited by: 110

Related to: 20