Construct trilingual parallel corpus on demand

Authors:
Muyun Yang;Hongfei Jiang;Tiejun Zhao;Sheng Li
Affiliations:
MOE-MS Key Laboratory of Natural Language Processing and Speech, School of Computer Science and Technology, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, School of Computer Science and Technology, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, School of Computer Science and Technology, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, School of Computer Science and Technology, Harbin Institute of Technology, Harbin
Venue:
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Year:
2006

Citing 3
Cited 0

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HLT '02 Proceedings of the second international conference on Human Language Technology Research

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Abstract

This paper describes the effort of constructing the Olympic Oriented Trilingual Corpus for the development of NLP applications for Beijing 2008. Designed to support the real NLP applications instead of pure research purpose, this corpus is challenged by multilingual, multi domain and multi system requirements in its construction. The key issue, however, lies in the determination of the proper corpus scale in relation to the time and cost allowed. To solve this problem, this paper proposes to observe the better system performance in the sub-domain than in the whole corpus as the signal of least corpus needed. The hypothesis is that the multi-domain corpus should be sufficient to reveal the domain features at least. So far a Chinese English Japanese tri-lingual corpus totaling 2.4 million words has been accomplished as the first stage result, in which information on domains, locations and topics of the language materials has been annotated in XML.