Interactions Among Morphology, Word Order, and Syntactic Directionality: Evidence from 55 Languages. [PDF]
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Gulf Arabic Noun and Verb Retrieval: What Matters? [PDF]
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Microencapsulation of Black Carrot Pomace Bioactive Compounds: Artificial Neural Network Modeling of Cytotoxicity on L929 Fibroblast Cells. [PDF]
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Enhancing Stability of <i>Boesenbergia rotunda</i> Bioactive Compounds: Microencapsulation via Spray-Drying and Its Physicochemical Evaluation. [PDF]
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Related searches:
An Arabic morphological system
IBM Systems Journal, 1989Nowadays, computers are used in every field in the Arab countries of the middle east. Software systems developed for the European languages are not convenient for the use of Arabic because of the nature of the language and its writing system. Problems arise when trying to use existing software systems, such as spell-checkers and business and office ...
Tarek A. El-Sadany, Mohamed A. Hashish
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Arabic Morphology Parsing Revisited
2008In this paper we propose a new approach to the description of Arabic morphology using 2-tape finite state transducers, based on a particular and systematic use of the operation of composition in a way that allows for incremental substitutions of concatenated lexical morpheme specifications with their surface realization for non-concatenative processes (
Rodolfo Delmonte, Delmonte Rodolfo
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Morphological compression of Arabic text
Information Processing & Management, 1990Abstract The morphological compression of Arabic text is a compression technique that replaces some words in the original text by their roots and morphological patterns. This method is studied by developing a new method to reduce Arabic words to their roots and patterns, and by a compression algorithm that encodes reducible words into a three byte ...
Sabah S. Al-Fedaghi, Humoud B. Al-Sadoun
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Arabic Morphology in the Neural Language System
Journal of Cognitive Neuroscience, 2010AbstractThere are two views about morphology, the aspect of language concerned with the internal structure of words. One view holds that morphology is a domain of knowledge with a specific type of neurocognitive representation supported by specific brain mechanisms lateralized to left fronto-temporal cortex.
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