A web-based translation service at the UOC based on Apertium

Pérez‐Villarejo, Luis; Farrús, Mireia; Ortíz, Sylvia; Ramírez, Gema

doi:10.1109/imcsit.2010.5679871

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has also contributed to the development of the system multiple-format support (Word, PowerPoint, Excel, Writer, Calc, Impress, HTML files, compressed files, etc.) for document translation service, which includes the option of creating and exporting translation memories that allow for the customisation of translations (Villarejo et al 2009a;Villarejo et al 2009b;Villarejo et al 2010). The advantage of working with Apertium is that all linguistic improvements made to the system are saved in a common repository so that its entire community of users can benefit from them.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Subject Areas into the Apertium Machine Translation System

Duran

Villarejo

Farrús

et al. 2013

Computational Linguistics

View full text Add to dashboard Cite

The Universitat Oberta de Catalunya (Open University of Catalonia, UOC), is a public university based in Barcelona. The UOC is characterised by three main factors: (a) it is a virtual university based in an e-Learning model, (b) it is based in a strongly Spanish-Catalan bilingual region, and (c) students come from around the world, so that linguistic and cultural diversity is a crucial factor.Within this context, it becomes essential to meet the UOC's linguistic needs taking into account its particular characteristics. One of the tools created to this end is the adaptation of Apertium, a free/open-source rule-based machine translation platform, which can be found under http://apertium.uoc.edu/, customised to the translation needs of the institution in order to offer the best possible service to their user community.In order to continue adapting and adding value to the existing tool for generalisable large-scale applications, the UOC's translation system has recently implemented a semantic filter based on subject fields aimed at improving the translation quality and at better fitting the university needs. The paper will explain all the steps of this adaptive process, as well as a demonstration of the resulting tool: (a) the choice of the subject fields according to the university studies, (b) the design and implementation of the dictionaries used to extract the required information to filter and disambiguate homonym and polysemous terms, including source code in the dictionaries, and (c) the design and implementation of the corresponding web interface.

show abstract

Section: Introductionmentioning

confidence: 99%