The AFRL-MITLL WMT15 System: There's More than One Way to Decode It!
MIT Lincoln Laboratory Lexington United States
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This paper describes the AFRL-MITLL statistical MT system and the improvements that were developed during the WMT15 evaluation campaign. As part of these efforts we experimented with a number of extensions to the standard phrase-based model that improve performance on the Russian to English translation task creating three submission systems with different decoding strategies. Out of vocabulary words were addressed with named entity postprocessing.