دانلود مقاله ISI انگلیسی شماره 78849
ترجمه فارسی عنوان مقاله

ابهامزدایی حس کلمه با استفاده از الگوریتم های تکاملی - برنامه به زبان عربی

عنوان انگلیسی
Word sense disambiguation using evolutionary algorithms – Application to Arabic language
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
78849 2014 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers in Human Behavior, Volume 41, December 2014, Pages 92–103

ترجمه کلمات کلیدی
پردازش زبان طبیعی؛ ابهامزدایی حس کلمه؛ عربی استاندارد مدرن؛ الگوریتم های تکاملی؛ الگوریتم های ژنتیکی؛ الگوریتم های ممتیک
کلمات کلیدی انگلیسی
Natural language processing; Word sense disambiguation; Modern Standard Arabic; Evolutionary algorithms; Genetic algorithms; Memetic algorithms
پیش نمایش مقاله
پیش نمایش مقاله  ابهامزدایی حس کلمه با استفاده از الگوریتم های تکاملی - برنامه به زبان عربی

چکیده انگلیسی

Natural language processing is related to human–computer interaction, where several challenges involve natural language understanding. Word sense disambiguation problem consists in the computational assignment of a meaning to a word according to a particular context in which it occurs. Many natural language processing applications, such as machine translation, information retrieval, and information extraction, require this task which occurs at the semantic level. Evolutionary computation approaches can be effective to solve this problem since they have been successfully used for many real-world optimization problems. In this paper, we propose to solve the word sense disambiguation problem using genetic and memetic algorithms, and apply them to Modern Standard Arabic. We demonstrate the performance of several models of our algorithms by carrying out experiments on a large Arabic corpus, and comparing them against a naïve Bayes classifier. Experimental results show that genetic algorithms can achieve more precise prediction than memetic algorithms and naïve Bayes classifier, attaining 79%.