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International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

Arabic has a very rich and complex morphology. Its appropriate Morphological processing is very important  for Information Retrieval, Text Processing, Machine  Translation and Spell Checking processes. The efforts  to improve Arabic information search and retrieval  compared to other languages are limited and modest,  even though the Arabic language is the official language  for over 29 countries, in addition to which there are  native Arabic speakers scattered all over the world. The  barrier to text processing advancements in Arabic is its  complicated morphological structure.
In this paper, we propose a new stemming technique  and produce software implementation ”‘AMA”’ for the  proposed technique that tries to determine the root and/or  the stem of a word representing the semantic core of this  word according to Arabic language morphology analysis  and Arabic language syntax.

Keywords :

Arabic morphology, Computational  linguistics, Stemming, Information retrieval

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