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Science / Machine translation / BLEU / Speech recognition / NIST / N-gram / Word error rate / METEOR / Automatic summarization / Evaluation of machine translation / Natural language processing / Computational linguistics


RC22176 (W0109-022) September 17, 2001 Computer Science IBM Research Report Bleu: a Method for Automatic Evaluation of Machine Translation
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Document Date: 2001-10-19 14:56:29

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City

Yorktown / Austin / Pisa / Tokyo / Delhi / Haifa / Beijing / /

Company

IBM / BP / Bleu / Zurich LIMITED / /

Continent

Americas / /

Country

Italy / United States / Columbia / India / /

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Event

Person Communication and Meetings / /

Facility

IBM T. J. Watson Research Center / /

IndustryTerm

consecutive systems / machine translation technology / monolingual / annotation tool / adjacent systems / outside publisher / summarization systems / machine translation systems / bilingual / stateof-the-art systems / /

MarketIndex

set 500 / /

NaturalFeature

Chinese-English MT / ARPA MT / /

Organization

Defense Advanced Research Projects Agency / National Science Foundation / U.S. Government / Association for Machine Translation / army / /

Person

Pardee Lowe / Jr. / Salim Roukos / Wei-Jing Zhu / John Makhoul / Thomas J. Watson / James Child / Ray Clifford / George Doddington / Todd Ward / /

Position

same translator / speaker / human translator / professional translator / judge / native speaker / /

ProvinceOrState

Maryland / New York / Montana / /

Technology

speech recognition / Machine Translation / machine translation technology / machine translation system / /

URL

http /

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