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Natural language processing / Linguistics / Computational linguistics / Speech recognition / BLEU / METEOR / NIST / Statistical machine translation / Word error rate / Machine translation / Evaluation of machine translation / Translation


Document Date: 2013-08-07 14:52:47

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City

Ann Arbor / Geneva / Sapporo / Boston / Miami / San Diego / Edinburgh / /

Company

BP / Pearson / /

Country

Switzerland / Iran / Japan / Jordan / Iraq / /

Currency

RON / /

/

Event

Diplomatic Relations / /

Facility

Informatics University of Edinburgh / /

IndustryTerm

translation systems / phrase-based statistical machine translation systems / statistical machine translation systems / similar systems / beam search decoder / automatic machine translation systems / /

NaturalFeature

NIST MT / Bleu MT / /

Organization

IDF / University of Edinburgh / Machine Translation Research Chris Callison-Burch Miles Osborne Philipp Koehn School / /

Person

Bogdan Babych / Abdullah II / Monarch Abdullah II / Eugene Charniak / Sanjeev Khudanpur / Shankar Kumar / Amittai Axelrod / Jean Senellart / David Smith / Eric Brill / Audrey Lee / Salim Roukos / Libin Shen / Bleu Score / Matthew Stone / Alex Fraser / Katherine Eng / Ryan Green / Beata Kouchnir / Deepak Ravichandra / Hermann Ney / Dan Melamed / Alon Lavie / Franz Josef Och / Henry Thompson / Jospeh P. Turian / Viren Jain / George Doddington / Radu Soricut / Eduard Hovy / Todd Ward / Daniel Gildea / Chris Callison-Burch / Philipp Koehn / Deborah Coughlin / Chin-Yew Lin / Mark Przybocki / Ed Hovy / Kenji Yamada / Zhen Jin / Anthony Hartley / Anoop Sarkar / Satanjeev Banerjee / Dragomir Radev / Frank Keller / Kevin Knight / /

Position

Pharaoh / King / rather coarse model / /

Product

Systran / /

ProvinceOrState

Michigan / Montana / Florida / /

PublishedMedium

the Meteor / /

Technology

speech recognition / Machine Translation / machine translation system / /

SocialTag