Context-aware machine translation for software localization

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RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/18801

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. DAMA-UPC - Data Management Group
dc.contributor	Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.contributor.author	Muntés Mulero, Víctor
dc.contributor.author	Paladini Adell, Patricia
dc.contributor.author	España Bonet, Cristina
dc.contributor.author	Màrquez Villodre, Lluís
dc.date	2012
dc.identifier.citation	Muntés, V. [et al.]. Context-aware machine translation for software localization. A: Conference of the European Association for Machine Translation. "Proceedings of the 16th Annual Conference of the European Association for Machine Translation: EAMT 2012: Trento, Italy, May 28th-30th 2012". Trento: 2012, p. 77-80.
dc.identifier.uri	http://hdl.handle.net/2117/18801
dc.language.iso	eng
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::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject	Machine translating
dc.subject	Machine translation
dc.subject	Word sense disambiguation
dc.subject	Traducció automàtica
dc.title	Context-aware machine translation for software localization
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Software localization requires translating short text strings appearing in user interfaces (UI) into several languages. These strings are usually unrelated to the other strings in the UI. Due to the lack of semantic context, many ambiguity problems cannot be solved during translation. However, UI are composed of several visual components to which text strings are associated. Although this association might be very valuable for word disambiguation, it has not been exploited. In this paper, we present the problem of lack of context awareness for UI localization, providing real examples and identifying the main research challenges.
dc.description.abstract	Peer Reviewed

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