Institution
American University in Cairo
Education•Cairo, Egypt•
About: American University in Cairo is a education organization based out in Cairo, Egypt. It is known for research contribution in the topics: Population & Context (language use). The organization has 2472 authors who have published 5339 publications receiving 73741 citations.
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TL;DR: This article investigated how raters approach reading-to-write tasks, how they react to source use, the challenges they face, and the features influencing their scoring decisions, and found that raters attending to judgment strategies more than interpretation behaviors.
34 citations
TL;DR: Among women of reproductive age in Menoufia, Egypt, deaths from burns constitute a major public health problem and were the third cause of death, and nearly two-thirds of the burns were caused by kerosene cooking stoves.
34 citations
TL;DR: The replacement of FM with different percentages of dietary fermented soy pulp (FSP) to assess the growth performance, haematology, blood biochemical, liver, and gut morphology of African catfish showed a significant difference.
34 citations
TL;DR: FGS was associated with dysparunia, abnormal vaginal discharge, vaginal or cervical polyps, contact bleeding, vulval itching and chronic cervicitis, and the study identified a number of factors that would affect the identification and treatment of FGS.
34 citations
Proceedings Article•
01 May 2010TL;DR: This paper porting MAGEAD to MSA nominals (nouns and adjectives), which are far more complex to model than verbs, reveals that the majority of recall and precision errors are problems in the gold standard or a result of the discrepancy between different models of form-based/functional morphology.
Abstract: MAGEAD is a morphological analyzer and generator for Modern Standard Arabic (MSA) and its dialects. We introduced MAGEAD in previous work with an implementation of MSA and Levantine Arabic verbs. In this paper, we port that system to MSA nominals (nouns and adjectives), which are far more complex to model than verbs. Our system is a functional morphological analyzer and generator, i.e., it analyzes to and generates from a representation consisting of a lexeme and linguistic feature-value pairs, where the features are syntactically (and perhaps semantically) meaningful, rather than just morphologically. A detailed evaluation of the current implementation comparing it to a commonly used morphological analyzer shows that it has good morphological coverage with precision and recall scores in the 90s. An error analysis reveals that the majority of recall and precision errors are problems in the gold standard or a result of the discrepancy between different models of form-based/functional morphology.
34 citations
Authors
Showing all 2534 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Michael Kagan | 108 | 614 | 53113 |
| Elsayed Z. Soliman | 70 | 620 | 27277 |
| Chang-jun Liu | 63 | 243 | 13035 |
| Moustafa Youssef | 61 | 299 | 15541 |
| A. Hamed | 61 | 270 | 12565 |
| Michael G. Kontominas | 56 | 207 | 9896 |
| Ahmed Ibrahim | 50 | 567 | 13445 |
| Ahmed A. Moustafa | 48 | 380 | 9691 |
| Kenneth S. W. Sing | 43 | 139 | 49657 |
| Mahmoud A.O. Dawood | 42 | 241 | 5353 |
| Nageh K. Allam | 41 | 273 | 6747 |
| Mohammad Ali Taher | 40 | 257 | 5876 |
| Omar A. El Seoud | 38 | 216 | 5523 |
| Mohamed A. Farag | 37 | 85 | 6618 |
| Mohamed Hilmy Elnagdi | 36 | 499 | 6118 |