An Investigation of Language-Specific and Orthographic Effects in L2 Arabic geminate production by Advanced Japanese- and English-speaking learners. [PDF]
Aldossari A, Stevenson RA, Rafat Y.
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Open-bigrams as orthographic processing units in Arabic: Evidence from the flanking-letters lexical-decision task. [PDF]
Zeghli H +3 more
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Toward a Recognition System for Mexican Sign Language: Arm Movement Detection. [PDF]
Hilario-Acuapan G +3 more
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Cognitive assessment tools for Arabic-speaking older adults: A systematic review. [PDF]
Kabalan M +8 more
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Looks like SNARC spirit: Coexistence of short- and long-term associations between letters and space. [PDF]
Roth L +6 more
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Persistence of Use Among Amazigh People of Medicinal Plants Documented by Ibn al-Baytar (Early 13th Century CE). [PDF]
Applequist WL.
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Kazakh Language and Arabic Alphabet
Iasaýı ýnıversıtetіnіń habarshysy, 2022The sounds in the word must be indicated by certain letters so that they are displayed in the written language and, accordingly, read. The sounds of the language are indicated in the text by certain graphic letters. A set of letters arranged one after another is called an alphabet. There are a certain number of alphabetic systems in the world.
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Gestures Arabic Sign Language Conversion to Arabic Alphabets
2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2018This Gestures is one of the best ways of communication between dumb and blind people depend on the expression of signs. In this paper we suggest an algorithm to recognizing hand gestures of Arabic letters to communicate between the dumb (through signs) and blind (hear the voice corresponding to sings).
Abdelmoty M. Ahmed +7 more
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ArSLAT: Arabic Sign Language Alphabets Translator
2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM), 2010This paper presents an automatic translation system of gestures of the manual alphabets in the Arabic sign language. The proposed Arabic Sign Language Alphabets Translator (ArSLAT) system does not rely on using any gloves or visual markings to accomplish the recognition job.
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