Arabic-English Domain Terminology Extraction from Aligned Corpora

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• 作者：Wiem Lahbib (23)
  Ibrahim Bounhas (23) (24)
  Bilel Elayeb (25) (26)
  
• 关键词：Bilingual terminology ; bilingual ontology ; alignment process ; parallel corpora ; terminological research
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8841
• 期：1
• 页码：745-759
• 全文大小：347 KB
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• 作者单位：Wiem Lahbib (23)
  Ibrahim Bounhas (23) (24)
  Bilel Elayeb (25) (26)
  
  23. LISI Laboratory of computer science for industrial systems, Carthage University, Tunisia
  24. Higher Institute of Documentation (ISD), Manouba University, 2010, Tunisia
  25. RIADI Laboratory,The National School of Computer Science (ENSI), Manouba University, 2010, Tunisia
  26. Emirates College of Technology, P.O. Box: 41009, Abu Dhabi, United Arab Emirates
  
• ISSN：1611-3349

文摘

The rapid growth of information sources has produced a large amount of electronically stored documents evolving every day. The development of Information Retrieval Systems (IRS) is a response to this growth, which aims to help the user identify relevant information. Recent IRS proposes to guide the user through providing domain knowledge in the form of controlled vocabularies or terminologies and thus, domain ontologies. In this context, it is necessary to develop multilingual termino-ontological resources. This paper proposes a new approach for bilingual domain terminology extraction in Arabic and English languages as a first step in the bilingual domain ontology building, to be exploited in terminological search. The approach uses arabic vocalized texts to reduce ambiguities and the alignment process to extract the english translations. To the best of our knowledge, the process implemented in our approach (morphological analysis, arabic terminology extraction, alignment and extraction of english translations) is the first work in the field of arabic-english bilingual domain terminology extraction. The results of experiments are encouraging showing rates of relevant term extraction from multiple domains and their translations exceeding 89%.