Edinburgh's Machine Translation Systems for European Language Pairs

Nadir Durrani, Barry Haddow, Kenneth Heafield, Philipp Koehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We validated various novel and recently proposed methods for statistical machine translation on 10 language pairs, using large data resources. We saw gains from optimizing parameters, training with sparse features, the operation sequence model, and domain adaptation techniques. We also report on utilizing a huge language model trained on 126 billion tokens.
Original languageEnglish
Title of host publicationProceedings of the Eighth Workshop on Statistical Machine Translation
Place of PublicationSofia, Bulgaria
PublisherAssociation for Computational Linguistics
Number of pages8
Publication statusPublished - 1 Aug 2013

Cite this