The JHU Machine Translation Systems for WMT 2016

Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post

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

Abstract / Description of output

This paper describes the submission of Johns Hopkins University for the shared translation task of ACL 2016 First Conference on Machine Translation (WMT 2016). We set up phrase-based, hierarchical phrase-based and syntax-based systems for all 12 language pairs of this year’s evaluation campaign. Novel research directions we investigated include: neural probabilistic language models, bilingual neural network language models, morphological segmentation, and the attention based neural machine translation model as reranking feature.
Original languageEnglish
Title of host publicationProceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers
Place of PublicationBerlin, Germany
PublisherAssociation for Computational Linguistics
Number of pages9
ISBN (Electronic)978-1-945626-10-4
Publication statusPublished - 12 Aug 2016
EventFirst Conference on Machine Translation - Berlin, Germany
Duration: 11 Aug 201612 Aug 2016


ConferenceFirst Conference on Machine Translation
Abbreviated titleWMT16
Internet address


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