Article details

Research area
Natural language & AI

Location
International Workshop on Spoken Language Translation, Kyoto, Japan,

Date
2006

Author(s)
Wade Shen, Tim Anderson

The MIT-LL/AFRL IWSLT-2006 MT System

Synopsis:

The MIT-LL/AFRL MT system is a statistical phrase-based translation system that implements many modern SMT training and decoding techniques. Our system was designed with the long-term goal of dealing with corrupted ASR in­put and limited amounts of training data for speech-to-speech MT applications. This paper will discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2005 system, and experiments with manual and ASR transcription data that were run as part of the IWSLT-2006 evaluation cam­paign.

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