Presentation 2011-06-24
An analysis of factors contributing to the naturalness of machine translation outputs
Yuka KURODA, Hirokazu SUZUKI,
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Abstract(in English) While a variety of methods has been proposed to evaluate machine translation quality, automated metrics, especially BLEU and NIST, are now widely used because of their low cost and objectivity. These automated metrics have been shown to correlate with human judgements when applied to languages that are linguistically similar, such as Indo-European languages, but not in case of language pairs that share less similarities, like Japanese and English, or Japanese and Chinese. Meanwhile, manual evaluation has also been done to measure the adequacy and fluency of translations. While these metrics are useful for comparing the performance of MT engines, we believe they fail to capture the naturalness of translations, which is one of the most important factors of translation quality. With this background, we conducted a survey using questionnaires on the impression of MT outputs and analyzed the results to examine what makes translations natural.
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Keyword(in English) Machine translation / Evaluation / Translation quality / questionnaire
Paper # TL2011-6
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Committee TL
Conference Date 2011/6/17(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An analysis of factors contributing to the naturalness of machine translation outputs
Sub Title (in English)
Keyword(1) Machine translation
Keyword(2) Evaluation
Keyword(3) Translation quality
Keyword(4) questionnaire
1st Author's Name Yuka KURODA
1st Author's Affiliation Corporate Research & Development Center, Toshiba Corporation Knowledge Media Laboratory()
2nd Author's Name Hirokazu SUZUKI
2nd Author's Affiliation Corporate Research & Development Center, Toshiba Corporation Knowledge Media Laboratory
Date 2011-06-24
Paper # TL2011-6
Volume (vol) vol.111
Number (no) 98
Page pp.pp.-
#Pages 6
Date of Issue