Title of article
ADAM: Analyzer for Dialectal Arabic Morphology
Author/Authors
Salloum, Wael Columbia University - Center for Computational Learning Systems, USA , Habash, Nizar New York University Abu Dhabi, United Arab Emirates
From page
372
To page
378
Abstract
While Modern Standard Arabic (MSA) has many resources, Arabic Dialects, the primarily spoken local varieties of Arabic, are quite impoverished in this regard. In this article, we present ADAM (Analyzer for Dialectal Arabic Morphology). ADAM is a poor man’s solution to quickly develop morphological analyzers for dialectal Arabic. ADAM has roughly half the out- of-vocabulary rate of a state-of-the-art MSA analyzer and is comparable in its recall performance to an Egyptian dialectal morphological analyzer that took years and expensive resources to build.
Keywords
Arabic natural language processing , Dialectal Arabic , Arabic morphology , Machine translation
Journal title
Journal Of King Saud University - Computer and Information Sciences
Journal title
Journal Of King Saud University - Computer and Information Sciences
Record number
2609798
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