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An Alignment Based Technique for Text Translation between Traditional Chinese and Simplified Chinese
2002
Pacific Asia Conference on Language, Information and Computation
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Aligned parallel corpora have proved very useful in many natural language processing tasks, including statistical machine translation and word sense disambiguation. In this paper, we describe an alignment technique for extracting transfer mapping from the parallel corpus. During building our system and data collection, we observe that there are three types of translation approaches can be used. We especially focuses on Traditional Chinese and Simplified Chinese text lexical translation and a
dblp:conf/paclic/KerL02
fatcat:3lzwhdmhafdprothgpg3rjoikm