@inproceedings{kirchhoff-yang-2007-university,
title = "The {U}niversity of {W}ashington machine translation system for the {IWSLT} 2007 competition",
author = "Kirchhoff, Katrin and
Yang, Mei",
booktitle = "Proceedings of the Fourth International Workshop on Spoken Language Translation",
month = oct # " 15-16",
year = "2007",
address = "Trento, Italy",
url = "https://aclanthology.org/2007.iwslt-1.13",
abstract = "This paper presents the University of Washington{'}s submission to the 2007 IWSLT benchmark evaluation. The UW system participated in two data tracks, Italian-to-English and Arabic-to-English. Our main focus was on incorporating out-of-domain data, which contributed to improvements for both language pairs in both the clean text and ASR output conditions. In addition, we compared supervised and semi-supervised preprocessing schemes for the Arabic-to-English task and found that the semi-supervised scheme performs competitively with the supervised algorithm while using a fraction of the run-time.",
}
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<abstract>This paper presents the University of Washington’s submission to the 2007 IWSLT benchmark evaluation. The UW system participated in two data tracks, Italian-to-English and Arabic-to-English. Our main focus was on incorporating out-of-domain data, which contributed to improvements for both language pairs in both the clean text and ASR output conditions. In addition, we compared supervised and semi-supervised preprocessing schemes for the Arabic-to-English task and found that the semi-supervised scheme performs competitively with the supervised algorithm while using a fraction of the run-time.</abstract>
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%0 Conference Proceedings
%T The University of Washington machine translation system for the IWSLT 2007 competition
%A Kirchhoff, Katrin
%A Yang, Mei
%S Proceedings of the Fourth International Workshop on Spoken Language Translation
%D 2007
%8 oct 15 16
%C Trento, Italy
%F kirchhoff-yang-2007-university
%X This paper presents the University of Washington’s submission to the 2007 IWSLT benchmark evaluation. The UW system participated in two data tracks, Italian-to-English and Arabic-to-English. Our main focus was on incorporating out-of-domain data, which contributed to improvements for both language pairs in both the clean text and ASR output conditions. In addition, we compared supervised and semi-supervised preprocessing schemes for the Arabic-to-English task and found that the semi-supervised scheme performs competitively with the supervised algorithm while using a fraction of the run-time.
%U https://aclanthology.org/2007.iwslt-1.13
Markdown (Informal)
[The University of Washington machine translation system for the IWSLT 2007 competition](https://aclanthology.org/2007.iwslt-1.13) (Kirchhoff & Yang, IWSLT 2007)
ACL