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1
Statistical post-editing and quality estimation for machine translation systems
Béchara, Hanna. - : Dublin City University. School of Computing, 2014
In: Béchara, Hanna (2014) Statistical post-editing and quality estimation for machine translation systems. Master of Science thesis, Dublin City University. (2014)
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Parser accuracy in quality estimation of machine translation: a tree kernel approach
In: Kaljahi, Rasoul Samed Zadeh, Foster, Jennifer orcid:0000-0002-7789-4853 , Rubino, Raphael, Roturier, Johann and Hollowood, Fred (2013) Parser accuracy in quality estimation of machine translation: a tree kernel approach. In: International Joint Conference on Natural Language Processing (IJCNLP), 14-18 Oct 2013, Nagoya, Japan. (2013)
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Topic models for translation quality estimation for gisting purposes
In: Rubino, Raphael, de Souza, Jose, Foster, Jennifer orcid:0000-0002-7789-4853 and Specia, Lucia (2013) Topic models for translation quality estimation for gisting purposes. In: MT Summit XIV, 2-6 Sept. 2013, Nice, France. (2013)
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DCU-Symantec at the WMT 2013 Quality Estimation Shared Task
In: Rubino, Raphael, Wagner, Joachim orcid:0000-0002-8290-3849 , Foster, Jennifer orcid:0000-0002-7789-4853 , Roturier, Johann, Samad Zadeh Kaljahi, Rasoul and Hollowood, Fred (2013) DCU-Symantec at the WMT 2013 Quality Estimation Shared Task. In: 8th Workshop on Statistical Machine Translation, 8-9 Aug 2013, Sofia, Bulgaria. ISBN 978-1-937284-57-2 (2013)
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5
Estimating the quality of translated user-generated content
In: Rubino, Raphael, Foster, Jennifer orcid:0000-0002-7789-4853 , Kaljahi, Rasoul Samed Zadeh, Roturier, Johann and Hollowood, Fred (2013) Estimating the quality of translated user-generated content. In: International Joint Conference on Natural Language Processing (IJCNLP), 14-18 Oct 2013, Nagoya, Japan. (2013)
Abstract: Previous research on quality estimation for machine translation has demonstrated the possibility of predicting the translation quality of well-formed data. We present a first study on estimating the translation quality of user-generated con- tent. Our dataset contains English technical forum comments which were trans- lated into French by three automatic systems. These translations were rated in terms of both comprehensibility and fidelity by human annotators. Our experiments show that tried-and-tested quality estimation features work well on this type of data but that extending this set can be beneficial. We also show that the performance of particular types of features de- pends on the type of system used to produce the translation.
Keyword: Computational linguistics; Machine translating; Quality estimation
URL: http://doras.dcu.ie/19960/
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A detailed analysis of phrase-based and syntax-based machine translation: the search for systematic differences
In: Kaljahi, Rasoul Samed Zadeh, Rubino, Raphael, Roturier, Johann and Foster, Jennifer orcid:0000-0002-7789-4853 (2012) A detailed analysis of phrase-based and syntax-based machine translation: the search for systematic differences. In: AMTA, 28 Oct - 1 Nov 2012, San Diego, CA. (2012)
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7
DCU-Symantec submission for the WMT 2012 quality estimation task
In: Rubino, Raphael, Foster, Jennifer orcid:0000-0002-7789-4853 , Wagner, Joachim orcid:0000-0002-8290-3849 , Roturier, Johann, Samad Zadeh Kaljahi, Rasoul and Hollowood, Fred (2012) DCU-Symantec submission for the WMT 2012 quality estimation task. In: The NAACL 2012 Seventh Workshop on Statistical Machine Translation (WMT'12), 7-8 Jun 2012, Montreal, Quebec, Canada. (2012)
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