The UPC submission to the WMT 2012 shared task on quality estimation

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/18263

dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.contributor.author	Pighin, Daniele
dc.contributor.author	González Bermúdez, Meritxell
dc.contributor.author	Màrquez Villodre, Lluís
dc.date	2012
dc.identifier.citation	Pighin, D.; Gonzalez, M.; Marquez, L. The UPC submission to the WMT 2012 shared task on quality estimation. A: Workshop on Statistical Machine Translation. "Proceedings of the 7th Workshop on Statistical Machine Translation". Montréal: Association for Computational Linguistics, 2012, p. 127-132.
dc.identifier.citation	978-1-937284-20-6
dc.identifier.uri	http://hdl.handle.net/2117/18263
dc.language.iso	eng
dc.publisher	Association for Computational Linguistics
dc.relation	http://clair.eecs.umich.edu/aan/paper.php?paper_id=W12-3115#pdf
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject	Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Aprenentatge de llengües
dc.subject	Machine translating
dc.subject	Signal theory (Telecommunication)
dc.subject	Traducció automàtica
dc.subject	Senyal, Teoria del (Telecomunicació)
dc.title	The UPC submission to the WMT 2012 shared task on quality estimation
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In this paper, we describe the UPC system that participated in the WMT 2012 shared task on Quality Estimation for Machine Translation. Based on the empirical evidence that fluencyrelated features have a very high correlation with post-editing effort, we present a set of features for the assessment of quality estimation for machine translation designed around different kinds of n-gram language models, plus another set of features that model the quality of dependency parses automatically projected from source sentences to translations. We document the results obtained on the shared task dataset, obtained by combining the features that we designed with the baseline features provided by the task organizers.
dc.description.abstract	Peer Reviewed

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