An Algorithm to Analyze Arabic Verbs Morphologically

Nimet Kassad, Muhammad Shaheen
{"title":"An Algorithm to Analyze Arabic Verbs Morphologically","authors":"Nimet Kassad, Muhammad Shaheen","doi":"10.37575/b/cmp/230061","DOIUrl":null,"url":null,"abstract":"Morphological analysis describes a word in isolation from the context, which is an important stage when trying to automatically understand and interpret the text. Many studies have provided morphological analyzers of Arabic verbs. However, although accurate, they do not deal with all cases of Arabic verbs. This research introduces an algorithm to analyze Arabic verbs morphologically based on regular expressions then on Morphological Database. The advantages of this algorithm are that it deals with verbs in their morphological cases, extracting their possible structures and some of their morphological data. This algorithm yielded highly accurate results after being tested on a sample of vocabulary and text. Furthermore, the extracted data is completely error-free.\nKEYWORDS\nlanguage processing, match, pattern, regular expression, root, word structure","PeriodicalId":517170,"journal":{"name":"Scientific Journal of King Faisal University: Basic and Applied Sciences","volume":"9 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Journal of King Faisal University: Basic and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37575/b/cmp/230061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Morphological analysis describes a word in isolation from the context, which is an important stage when trying to automatically understand and interpret the text. Many studies have provided morphological analyzers of Arabic verbs. However, although accurate, they do not deal with all cases of Arabic verbs. This research introduces an algorithm to analyze Arabic verbs morphologically based on regular expressions then on Morphological Database. The advantages of this algorithm are that it deals with verbs in their morphological cases, extracting their possible structures and some of their morphological data. This algorithm yielded highly accurate results after being tested on a sample of vocabulary and text. Furthermore, the extracted data is completely error-free. KEYWORDS language processing, match, pattern, regular expression, root, word structure
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从形态学角度分析阿拉伯语动词的算法
词形分析描述的是脱离上下文的单词,这是对文本进行自动理解和解释的重要阶段。许多研究都提供了阿拉伯语动词的词形分析器。然而,尽管准确,它们并不能处理阿拉伯语动词的所有情况。本研究介绍了一种基于正则表达式、然后基于词形数据库对阿拉伯语动词进行词形分析的算法。该算法的优势在于,它可以处理动词的形态情况,提取其可能的结构和部分形态数据。在对词汇和文本样本进行测试后,该算法得出了非常准确的结果。关键词:语言处理,匹配,模式,正则表达式,词根,词结构
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study of the Nuclear Structure Properties in Strontium (90,92,94Sr) Isotopes Using Nuclear Shell-model Calculations The Effect of Alcoholic Extracts of Strawberries and Green Tea on Enterococcus faecalis Isolated from Urinary Tract Infections Impact of Water Deficit and Virtual Water Trade on the Costs of Producing and Exporting Saudi Dates Factors affecting the costs of broiler chicken production in light of urgent international variables Adaptive Kalman Filter: Noise Reduction in Diagonal Drawings on Stylus/Pen Touchscreens for Enhanced Precision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1