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Improving Parsing Efficiency Using Chunking in Chinese-Korean Machine Translation  

양재형 (강남대학교 컴퓨터미디어공학부)
심광섭 (성신여자대학교 컴퓨터정보학부)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.8, 2004 , pp. 1083-1091 More about this Journal
Abstract
This paper presents a chunking system employed as a preprocessing module to the parser in a Chinese to Korean machine translation system. The parser can benefit from the dependency information provided by the chunking module. The chunking system was implemented using transformation-based learning technique and an effective interface that conveys the dependency information to the parser was also devised. The module was integrated into the machine translation system and experiments were performed with corpuses collected from Chinese websites. The experimental results show the introduction of chunking module provides noticeable improvements in the parser's performance.
Keywords
chunk; chunking; transformation-based learning; natural language parsing; machine translation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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