Phrase chunking can be an effective way to enhance the performance of an existing parser in machine translation system. This paper presents a Chinese phrase chunker implemented using transformation-based learning algorithm, and an interface devised to convey the dependency information found by the chunker to the parser. The chunker operates as a preprocessor to the parser in a Chinese to Korean machine translation system currently under active development. By introducing chunking module, some of the unlikely dependencies could be ruled out in advance, resulting in noticeable improvements in the parser's performance.
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