Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jksuci.2014.06.010 | Journal of King Saud University - Computer and Information Sciences |
Keywords | DocType | Volume |
Arabic natural language processing,Dialectal Arabic,Arabic morphology,Machine translation | Journal | 26 |
Issue | ISSN | Citations |
4 | 1319-1578 | 5 |
PageRank | References | Authors |
0.53 | 17 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wael Salloum | 1 | 59 | 6.86 |
| Nizar Habash | 2 | 1833 | 145.59 |