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01800nam a22002297a 4500 |
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0230379 |
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|a fre
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044 |
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|b المغرب
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100 |
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|9 51833
|a Yousfi, Abd Allah
|e Author
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245 |
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|a Traitement des Mots Inconnus Pour les Systemes D'etiquetage Morpho-Syntaxiques Probabilities des Textes Arabes
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260 |
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|b معهد الدراسات والأبحاث للتعريب
|c 2007
|g يناير
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300 |
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|a 330 - 335
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336 |
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|a بحوث المؤتمرات
|b Article
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500 |
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|a نص المقال باللغة الفرنسية
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520 |
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|b The text tagging is a very important tool for various applications in natural language processing, namely morphological and syntactic analysis of texts, indexation and information retrieval, "vocalisation” of arabic texts and probabilistic language model (n-class model). These systems, always based on the lexeme of limited size, are unable to treat unknown words consequently. To overcome this problem, we developped in this paper, a new system based on the patterns of unknown words and the Hidden Markov Model (HMM). The experiments are carried out in the set of labelled texts, the set of 3800 patterns, and the 52 tags of morpho-syntactic nature, to estimate the parameters of the new model HMM.
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653 |
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|a اللغة العربية
|a المعالجة الآلية
|a معالجة اللغة الطبيعية
|a استرجاع المعلومات
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700 |
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|9 28048
|a El Jihad, Abd Elhamid
|e Co-Author
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773 |
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|c 006
|l 000
|o 6868
|s وقائع الندوة الدولية : المعالجة الآلية للغة العربية
|v 000
|d الرباط
|i معهد الدراسات والأبحاث للتعريب بالرباط - جامعة محمد الخامس
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856 |
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|u 6868-000-000-006.pdf
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930 |
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|d y
|p y
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995 |
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|a AraBase
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999 |
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|c 593878
|d 593878
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