A smart Dictionary for the Arabic Full-Form Words
Ali EL-Desoky1, Marwa Fayz2, Doaa Samir3
1Ali EL-Desoky, Department of CSE, University, Mansoura, EGYPT, India.
2Mrwa Fayz, Department of CSE, University, Mansoura, EGYPT, India.
3Doaa Samir, Department of CSE, University, Mansoura, EGYPT, India.
Manuscript received on November 01, 2012. | Revised Manuscript received on November 02, 2012. | Manuscript published on November 05, 2012. | PP: 39-42 | Volume-2 Issue-5, November 2012. | Retrieval Number: E0991092512/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Avery long time is required when searching for a given word in the full-form words dictionary if these words are stored in a single database . A smart enough way is required when designing these type of dictionary in order to decrease the search time as much as possible to speed up the whole process execution time. This paper introduces a smart dictionary in which the full-form words are distributed into a large number of tables(files). This dictionary distributes the full-form words over 30 tables each of which holds the words start with the same alphabetic character this make the search easier and faster.
Keywords: Arabic, human language technologies (HLT), hybrid, morphological analysis, morphology, natural language processing (NLP), phonetic transcription, phonological analysis, statistical language model (SLM), statistical, syntax.