2015 TheEdinburghJHUPhrasebasedMachi

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Subject Headings: Edinburgh/Jhu Phrase-Based Machine Translation System; Machine Translation System; WMT 2015.

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Abstract

This paper describes the submission of the University of Edinburgh and the Johns Hopkins University for the shared translation task of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015). We set up phrase-based statistical machine translation systems for all ten language pairs of this years evaluation campaign, which are English paired with Czech, Finnish, French, German, and Russian in both translation directions. Novel research directions we investigated include: neural network language models and bilingual neural network language models, a comprehensive use of word classes, and sparse lexicalized reordering features.

References

BibTeX

@inproceedings{2015_TheEdinburghJHUPhrasebasedMachi,
  author    = {Barry Haddow and
               Matthias Huck and
               Alexandra Birch and
               Nikolay Bogoychev and
 [[Philipp Koehn]]},
  title     = {The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT
               2015},
  booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation,
               (WMT@EMNLP 2015)},
  address   = {Lisbon, Portugal},
  pages     = {126--133},
  publisher = {The Association for Computer Linguistics},
  year      = {2015},
  month     = {September},
  url       = {https://www.aclweb.org/anthology/W15-3013/},
  doi       = {10.18653/v1/w15-3013},
}


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2015 TheEdinburghJHUPhrasebasedMachiBarry Haddow
Philipp Koehn
Alexandra Birch
Matthias Huck
Nikolay Bogoychev
The Edinburgh/JHU Phrase-based Machine Translation Systems for {WMT} 20152015