ADAM: Analyzer For Dialectal Arabic Morphology
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Salloum, Wael (Author) |
| مؤلفين آخرين: | Habash, Nizar (Co-Author) |
| المجلد/العدد: | مج26, ع4 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2014
|
| الصفحات: | 372 - 378 |
| DOI: |
10.33948/0584-026-004-003 |
| ISSN: |
1319-1578 |
| رقم MD: | 973344 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Arabic Natural Language Processing | Dialectal Arabic | Arabic Morphology | Machine Translation
|
| رابط المحتوى: |
| المستخلص: |
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 outof- 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. |
|---|---|
| ISSN: |
1319-1578 |
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