A Bottom-Up Term Extraction Approach for Web-Based Translation in Chinese-English IR Systems

Lu, Chengye and Xu, Yue and Geva, Shlomo (2007) A Bottom-Up Term Extraction Approach for Web-Based Translation in Chinese-English IR Systems. In: The Twelfth Australasian Document Computing Symposium (ADCS2007), Monday 10 December, 2007, Melbourne, Victoria.

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Abstract

The extraction of Multiword Lexical Units (MLUs) in lexica is important to language related methods such as Natural Language Processing (NLP) and machine translation. As one word in one language may be translated into an MLU in another language, the extraction of MLUs plays an important role in Cross-Language Information Retrieval (CLIR), especially in finding the translation for words that are not in a dictionary. Web mining has been used for translating the query terms that are missing from dictionaries. MLU extraction is one of the key parts in search engine based translation. The MLU extraction result will finally affect the transition quality. Most statistical approaches to MLU extraction rely on large statistical information from huge corpora. In the case of search engine based translation, those approaches do not perform well because the size of corpus returned from a search engine is usually small. In this paper, we present a new string measurement and new Chinese MLU extraction process that works well on small corpora.

ID Code:	14447
Item Type:	Conference Paper
Additional Information:	The contents of this conference can be freely accessed online via the conference's web page (see hypertext link).
Additional URLs:	http://goanna.cs.rmit.edu.au/~aht/adcs20...
ISBN:	9780646484372
Subjects:	Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions:	QUT Faculties and Divisions > Faculty of Science and Technology
Copyright Owner:	Copyright 2007 (please consult author)
Deposited On:	20 Aug 2008
Last Modified:	23 Jan 2009 02:41

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