Word Embedding for Arabic Word Sense Disambiguation to create a Historical Dictionary for Arabic Language

被引:0
作者
Laatar, Rim [1 ]
Aloulou, Chafik [1 ]
Belghuith, Lamia Hadrich [1 ]
机构
[1] Univ Sfax, Fac Econ & Management, MIR CL Lab, ANLP Res Grp, Sfax, Tunisia
来源
2018 8TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSIT) | 2018年
关键词
Historical Dictionary; word sense disambiguation; Modern Standard Arabic; Word Embedding; NLP;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Arabic is one of the oldest Semitic languages in the world. It is also one of the main languages spoken in the world with thousands of people in various Arab countries using it as their mother tongue. However, despite its richness, the Arabic language does not yet have a historical dictionary which helps to understand the language, its richness, its origins and its evolution. The historical dictionary aims at overseeing the compilation of a historical lexicon of the Arabic language and its development over the last two millennia. To create such a dictionary, we must follow many steps. As part of these steps is the extraction of the appropriate meaning of a given word occurring in a given context, also called word sense disambiguation (WSD). Indeed, the evolution of the Arabic language from antiquity to the present days has given birth to several linguistic registers ascribed to the great periods of the history of the Arabic language. They can be classified as: Old Arabic, Classical Arabic and Modern Standard Arabic. In this work, we propose a method that aims to disambiguate words in Modern Standard Arabic.
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收藏
页码:131 / 135
页数:5
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