@inproceedings{drexler-etal-2012-mit,
title = "The {MIT}-{LL}/{AFRL} {IWSLT} 2012 {MT} system",
author = "Drexler, Jennifer and
Shen, Wade and
Anderson, Tim and
Slyh, Raymond and
Ore, Brian and
Hansen, Eric and
Gleason, Terry",
booktitle = "Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 6-7",
year = "2012",
address = "Hong Kong, Table of contents",
url = "https://aclanthology.org/2012.iwslt-evaluation.14",
pages = "109--116",
abstract = "This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2012 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 task. We also applied our existing ASR system to the TED-talk lecture ASR task, and combined our ASR and MT systems for the TED-talk SLT task. We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2011 system, and experiments we ran during the IWSLT-2012 evaluation. Specifically, we focus on 1) cross-domain translation using MAP adaptation, 2) cross-entropy filtering of MT training data, and 3) improved Arabic morphology for MT preprocessing.",
}
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%0 Conference Proceedings
%T The MIT-LL/AFRL IWSLT 2012 MT system
%A Drexler, Jennifer
%A Shen, Wade
%A Anderson, Tim
%A Slyh, Raymond
%A Ore, Brian
%A Hansen, Eric
%A Gleason, Terry
%S Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2012
%8 dec 6 7
%C Hong Kong, Table of contents
%F drexler-etal-2012-mit
%X This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2012 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 task. We also applied our existing ASR system to the TED-talk lecture ASR task, and combined our ASR and MT systems for the TED-talk SLT task. We discuss the architecture of the MIT-LL/AFRL MT system, improvements over our 2011 system, and experiments we ran during the IWSLT-2012 evaluation. Specifically, we focus on 1) cross-domain translation using MAP adaptation, 2) cross-entropy filtering of MT training data, and 3) improved Arabic morphology for MT preprocessing.
%U https://aclanthology.org/2012.iwslt-evaluation.14
%P 109-116
Markdown (Informal)
[The MIT-LL/AFRL IWSLT 2012 MT system](https://aclanthology.org/2012.iwslt-evaluation.14) (Drexler et al., IWSLT 2012)
ACL
- Jennifer Drexler, Wade Shen, Tim Anderson, Raymond Slyh, Brian Ore, Eric Hansen, and Terry Gleason. 2012. The MIT-LL/AFRL IWSLT 2012 MT system. In Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 109–116, Hong Kong, Table of contents.