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Nonrandom Associations of Graphemes with Colors in Arabic
Cross-modal synaesthesia color association letters numbers graphemes Arabic cross-linguistic cross-cultural
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2016/5/3
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...
A Survey of Arabic Named Entity Recognition and Classification
Arab Entity Recognition
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2015/9/14
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
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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...
Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features
Standard Arabic Infl ectional Features
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2015/9/11
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...
Multitiered Nonlinear Morphology Using Multitape Finite Automata: A Case Study on Syriac and Arabic
Multitape Finite Automata Syriac and Arabic
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2015/8/25
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...
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation
Stanford University Arabic-to-English Statistical Machine Translation System the 2009 NIST MT Open
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2015/6/12
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): ...
NP Subject Detection in Verb-Initial Arabic Clauses
NP Subject Detection Verb-Initial Arabic Clauses
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2015/6/12
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
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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...
Poetries in Contact: Arabic,Persian,and Urdu
Poetries in Contact Arabic Persian Urdu
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2015/6/11
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
Language Modeling Arabic LVCSR
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2015/3/10
Morpheme-Based Language Modeling for Arabic LVCSR.
Segmentation for English-to-Arabic Statistical Machine Translation
Segmentation English-to-Arabic Statistical Machine Translation
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2015/3/10
Segmentation for English-to-Arabic Statistical Machine Translation.
Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation
Speech Recognition Understanding
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2015/3/10
Syntactic Phrase Reordering for English-to-Arabic Statistical Machine Translation.
Lexical Modeling for Arabic ASR: A Systematic Approach
automatic speech recognition Arabic diacritics pronunciation rules language model lexical model joint sequence model pronunciation mixture model
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2014/11/27
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...
Recent Advances in ASR Applied to an Arabic Transcription System for Al-Jazeera
Arabic ASR system Kaldi
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2014/11/27
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
Arabic MT Morphology Rivals Supervised Morphology
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2014/11/26
Unsupervised Morphology Rivals Supervised Morphology for Arabic MT。