A Metric for Example Matching in Example-Based Machine Translation(<Special Section>Papers Selected from 2005 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2005))

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概要

• 論文の詳細を見る

• This paper proposes a metric for example matching under the example-based machine translation. Our metric served as similarity measure is employed to retrieve the most similar examples to a given query. Basically it makes use of simple information such as lemma and part-of-speech information of typographically mismatched words. In addition, it uses the contiguity information of matched word units to catch the full context. Finally we show the results for the correctness of the proposed metric.

• 社団法人電子情報通信学会の論文
• 2006-06-01

著者

• Kim Han-woo

  Department Of Computer Science And Engineering Hanyang University

• Kim Dong-joo

  Department Of Computer Science And Engineering Hanyang University

• Kim Dong-joo

  Department Of Chemical Engineering Kangwon National University

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