A Metric for Example Matching in Example-Based Machine Translation
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.6 pp.1713-1716
- Publication Date
- 2006/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.6.1713
- Type of Manuscript
- Special Section LETTER (Special Section on Papers Selected from 2005 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC2005))
- Category
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Dong-Joo KIM, Han-Woo KIM, "A Metric for Example Matching in Example-Based Machine Translation" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 6, pp. 1713-1716, June 2006, doi: 10.1093/ietfec/e89-a.6.1713.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.6.1713/_p
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@ARTICLE{e89-a_6_1713,
author={Dong-Joo KIM, Han-Woo KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Metric for Example Matching in Example-Based Machine Translation},
year={2006},
volume={E89-A},
number={6},
pages={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.},
keywords={},
doi={10.1093/ietfec/e89-a.6.1713},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - A Metric for Example Matching in Example-Based Machine Translation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1713
EP - 1716
AU - Dong-Joo KIM
AU - Han-Woo KIM
PY - 2006
DO - 10.1093/ietfec/e89-a.6.1713
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2006
AB - 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.
ER -
English
