The AFRL-MITLL WMT16 News-Translation Task Systems

This paper describes the AFRL-MITLL statistical machine translation systems and the improvements that were developed during the WMT16 evaluation campaign. New techniques applied this year include Neural Machine Translation, a unique selection process for language modelling data, additional out-of-vocabulary transliteration techniques, and morphology generation.

• Publication year

  2016

• Venue

  Conference on Machine Translation

• Publication date

  2016-08-11

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.18653/v1/W16-2313
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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