کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960717 1446502 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The Use of Hidden Markov Model in Natural ARABIC Language Processing: a survey
ترجمه فارسی عنوان
استفاده از مدل مخفی مارکوف در پردازش زبان آرابیک طبیعی: یک نظرسنجی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Hidden Markov Model is an empirical tool that can be used in many applications related to natural language processing. In this paper a comparative study was conducted between different applications in natural Arabic language processing that uses Hidden Markov Model such as morphological analysis, part of speech tagging, text classification, and name entity recognition. Comparative results showed that HMM can be used in different layers of natural language processing, but mainly in pre-processing phase such as: part of speech tagging, morphological analysis and syntactic structure; however in high level applications text classification their use is limited to certain number of researches.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 113, 2017, Pages 240-247
نویسندگان
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