International Workshop on Spoken Language Translation (IWSLT) 2011
San Francisco, CA, USA
This paper describes the MIT-LL/AFRL statistical MT
system and the improvements that were developed during the
IWSLT 2011 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 Arabic
to English and English to French TED-talk translation tasks.
We also applied our existing ASR system to the TED-talk
lecture ASR task.
We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2010 system, and experiments we ran during the IWSLT-2011 evaluation. Specifically, we focus on 1) speech recognition for lecture-like data, 2) cross-domain translation using MAP adaptation, and 3) improved Arabic morphology for MT preprocessing.
Bibliographic reference. Aminzadeh, A. Ryan / Anderson, Tim / Slyh, Ray / Ore, Brian / Hansen, Eric / Shen, Wade / Drexler, Jennifer / Gleason, Terry (2011): "The MIT-LL/AFRL IWSLT-2011 MT system", In IWSLT-2011, 34-40.