从文本中提取领域术语的混合方法:语言和统计过滤

2014 Third IEEE International Colloquium in Information Science and Technology (CIST) Pub Date : 2014-10-01 DOI:10.1109/CIST.2014.7016634

El Khadir Lamrani, E. Lahmar, A. Marzak, Hammad Ballaoui

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引用次数: 1

摘要

从特定领域中提取标识术语是文本信息提取中不可缺少的一项任务，本文提出了一种结合语言学和统计学方法的阿拉伯文本复杂术语提取混合方法，该方法着重于对阿拉伯语进行深度的语言和词形句法分析，引入复杂术语的语言过滤算法。

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Mixed method for extraction of domain terminology from text: Linguistic and statistical filtering

Extraction of identifier terminology from a specific domain is an indispensable task in extracting information from text, In this work we propose a hybrid method of extracting complex terms from Arabic texts which combines between linguistic and statistical approach, which focuses on a linguistic and morph syntactic analysis of the Arabic language deep to introduce an linguistic filtering algorithm of complex terms.

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2014 Third IEEE International Colloquium in Information Science and Technology (CIST)

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