Tradubi: open-source social translation for the Apertium machine translation platform

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Title: Tradubi: open-source social translation for the Apertium machine translation platform
Authors: Sánchez-Cartagena, Víctor M. | Pérez-Ortiz, Juan Antonio
Research Group/s: Transducens
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Social translation | Machine translation | Web applications | Tradubi | Collaborative translation
Knowledge Area: Lenguajes y Sistemas Informáticos
Date Created: Dec-2009
Issue Date: Jan-2010
Publisher: Charles University in Prague. Institute of Formal and Applied Linguistics | Versita
Citation: SÁNCHEZ-CARTAGENA, Víctor M.; PÉREZ-ORTIZ, Juan Antonio. "Tradubi: open-source social translation for the Apertium machine translation platform". The Prague Bulletin of Mathematical Linguistics. No. 93 (Jan. 2010). ISSN 0032-6585, pp. 47-56
Abstract: Massive online collaboration could become a winning strategy to tear down the language barriers on the web, and in order for this to happen appropriate computer tools, like reliable machine translation systems and friendly postediting interfaces, should be widely available. However, community collaboration should not only involve the postediting of machine translations, but also the creation of the linguistic resources needed to improve the translation engines. In this paper we introduce Tradubi, a free/open-source web application for social translation, whose aim is, firstly, to build a platform for collaboratively customising and improving rule-based machine translation systems and, secondly, to offer an environment for the postediting and subsequent sharing of raw machine translations. Currently, Tradubi is built upon the free/open-source Apertium machine translation engine. The application can be accessed at or downloaded and installed on a different server.
Sponsor: This work has been partially funded by Spanish Ministerio de Ciencia e Innovación through project TIN2009-14009-C02-01.
ISBN: 978-80-904175-4-0
ISSN: 0032-6585 (Print) | 1804-0462 (Online)
DOI: 10.2478/v10108-010-0012-8
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
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Appears in Collections:INV - TRANSDUCENS - Artículos de Revistas

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