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A Metric for Example Matching in Example-Based Machine Translation

Title
A Metric for Example Matching in Example-Based Machine Translation
Author
김한우
Keywords
example matching; example-based machine translation; edit-distance; edit-score; contiguity information
Issue Date
2006-06
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E89A, No. 6, Page. 1713-1716
Abstract
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.
URI
https://search.ieice.org/bin/summary.php?id=e89-a_6_1713http://repository.hanyang.ac.kr/handle/20.500.11754/108117
ISSN
1745-1337
DOI
10.1093/ietfec/e89-a.6.1713
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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