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Automatic Evaluation Method for Machine Translation using Noun-Phrase Chunking

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/64132

Title: Automatic Evaluation Method for Machine Translation using Noun-Phrase Chunking
Authors: Hiroshi, Echizen-ya Browse this author
Kenji, Araki Browse this author →KAKEN DB
Issue Date: 2010
Publisher: ACM
Journal Title: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Start Page: 108
End Page: 117
Abstract: As described in this paper, we proposea new automatic evaluation method formachine translation using noun-phrasechunking. Our method correctly determinesthe matching words between twosentences using corresponding nounphrases. Moreover, our method determinesthe similarity between two sentencesin terms of the noun-phrase orderof appearance. Evaluation experimentswere conducted to calculate thecorrelation among human judgments,along with the scores produced usingautomatic evaluation methods forMT outputs obtained from the 12 machinetranslation systems in NTCIR-7. Experimental results show thatour method obtained the highest correlationsamong the methods in bothsentence-level adequacy and fluency.
Conference Name: Annual Meeting of the Association for Computational Linguistics
Conference Sequence: 48
Conference Place: Uppsala
Rights: © 2010 ACM. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Pages 108-117 ,2010-07 ,http://doi.acm.org/10.1145/1860000.1858693
Type: proceedings (author version)
URI: http://hdl.handle.net/2115/64132
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 荒木 健治

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