Arabic Words Root Extraction Using Modified Successor Variety

Hayel Khafajeh, Nidal Yousef, Hassan Al-Tarawneh
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Abstract

The process of returning words to their linguistic roots is one of the most important stages of preparation for computerizing the Arabic text, this process aims to: Overcoming the multiple morphological forms of the Arabic language, rooting algorithms are used in many applications of language processing, such as information retrieval applications, machine translation, text summarization, optical character recognition, and other applications. In this research, a new algorithm was proposed to extract roots of the Arabic words, depending on the adopted successor variety algorithm, by changing the body of the proposed text in this algorithm, so that it consists of several morphological formulas associated with the word to be rooted, the proposed algorithm has been tested on approximately six thousand derived words from 137 deferent roots, with 44 morphological forms for each root, the ratio of correct extracted roots using the proposed algorithm was about 98.5%.
利用改良后继品种提取阿拉伯语词根
词根回归过程是阿拉伯语文本计算机化准备的最重要阶段之一,该过程旨在克服阿拉伯语的多种形态,词根算法被用于语言处理的许多应用,如信息检索应用、机器翻译、文本摘要、光学字符识别等应用。在本研究中,提出了一种新的提取阿拉伯语单词词根的算法,根据采用的后继变体算法,通过改变该算法中拟议文本的主体,使其由与要生根的单词相关的几个形态学公式组成,所提出的算法已经对来自137个不同词根的大约6000个衍生词进行了测试,每个词根有44种形态学形式。该算法提取根的正确率约为98.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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