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The MIT-LL/AFRL IWSLT-2006 MT system

November 27, 2006
  |
Conference Paper
Author:
Wade Shen
…
Published in:
Proc. Int. Workshop on Spoken Language Translation, IWSLT, 27-28 November 2006.
Topic:
machine translation
R&D area:
R&D group:

Summary

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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Summary

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...

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The MIT-LL/AFRL IWSLT-2006 MT system

Toward an interagency language roundtable based assessment of speech-to-speech translation capabilitites

August 12, 2006
  |
Conference Paper
Author:
Douglas A. Jones
…
Published in:
AMTA 2006, 7th Biennial Conf. of the Association for Machine Translation in the Americas, 8-12 August 2006.
Topic:
machine translation
R&D area:
R&D group:

Summary

We present observations from three exercises designed to map the effective listening and speaking skills of an operator of a speech-to-speech translation system (S2S) to the Interagency Language Roundtable (ILR) scale. Such a mapping is nontrivial, but will be useful for government and military decision makers in managing expectations of S2S technology. We observed domain-dependent S2S capabilities in the ILR range of Level 0+ to Level 1, and interactive text-based machine translation in the Level 3 range.
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Summary

We present observations from three exercises designed to map the effective listening and speaking skills of an operator of a speech-to-speech translation system (S2S) to the Interagency Language Roundtable (ILR) scale. Such a mapping is nontrivial, but will be useful for government and military decision makers in managing expectations of...

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Toward an interagency language roundtable based assessment of speech-to-speech translation capabilitites

The MIT-LL/AFRL MT System

October 24, 2005
  |
Conference Paper
Author:
Wade Shen
…
Published in:
Int. Workshop on Spoken Language Translation, IWSLT, 24-25 October 2005.
Topic:
machine translation
R&D area:
R&D group:

Summary

The MITLL/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 for Speech-to-Speech MT applications. This paper will discuss the architecture of the MITLL/AFRL MT system, and experiments with manual and ASR transcription data that were run as part of the IWSLT-2005 Chinese-to-English evaluation campaign.
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Summary

The MITLL/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 for Speech-to-Speech MT applications. This paper will discuss the architecture of the MITLL/AFRL MT system, and...

READ MORE
The MIT-LL/AFRL MT System
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