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Numerous studies demonstrate people associate colors with letters and numbers in systematic ways.But most of these studies rely on speakers of English, or closely related languages. This makes it diff...
As more and more Arabic textual information becomes available through the Web in homes and businesses, via Internet and Intranet services, there is an urgent need for technologies and tools to proce...
Arabic Dialect Identification     Arabic dialect  manner       2015/9/14
The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a nontrivial manner from the various spoken regional dialects of Arabic—the true “native languages” of Arabic speaker...
We explore the contribution of lexical and inflectional morphology features to dependency parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled ex...
This paper presents a computational model for nonlinear morphology with illustrations from Syriac and Arabic. The model is a multitiered one in that it allows for multiple lexical representations cor...
This document describes Stanford University’s first entry into a NIST Arabic-English MT evaluation. We describe two main improvements over a previous Chinese-English submission (Galley et al., 2008): ...
Phrase re-ordering is a well-known obstacle to robust machine translation for language pairs with significantly different word orderings. For Arabic-English, two languages that usually differ in the o...
Syllables and Moras in Arabic     Syllables  Moras  Arabic       2015/6/11
Some of the most salient differences among Arabic vernaculars have to do with syllable structure. This study focuses on the syllabification patterns of three dialect groups, (1) VC-dialects, (2) C-dia...
The Arabic method of metrical analysis devised by al-Khalˉ ıl Ibn Ah . mad of Basra (b. 718) came with Islam into Persian, and spread from there with the rest of Persian literary culture into Urd...
Morpheme-Based Language Modeling for Arabic LVCSR.
Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation.
Arabic has an ambiguous mapping between words and pronunciations, making it a deep orthographic system. This ambiguity can be resolved through diacritics, which if displayed, would compose 30% of char...
This paper describes a detailed comparison of several state-ofthe-art speech recognition techniques applied to a limited Arabic broadcast news dataset. The different approaches were all trained on 50 ...
Unsupervised Morphology Rivals Supervised Morphology for Arabic MT。

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