Identification of bilingual terms from monolingual documents for statistical machine translation
Arcan, Mihael Giuliano, Claudio Turchi, Marco Buitelaar, Paul
Arcan, Mihael
Giuliano, Claudio
Turchi, Marco
Buitelaar, Paul
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Publication Date
2014-08-23
Type
Conference Paper
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Arcan, Mihael, Giuliano, Claudio, Turchi, Marco, & Buitelaar, Paul. (2014). Identification of bilingual terms from monolingual documents for statistical machine translation. Paper presented at the 4th International Workshop on Computational Terminology (Computerm2014), co-located with COLING 2014, Dublin, Ireland, 23 August.
Abstract
The automatic translation of domain-specific documents is often a hard task for generic Statistical Machine Translation (SMT) systems, which are not able to correctly translate the large number of terms encountered in the text. In this paper, we address the problems of automatic identification of bilingual terminology using Wikipedia as a lexical resource, and its integration into an SMT system. The correct translation equivalent of the disambiguated term identified in the monolingual text is obtained by taking advantage of the multilingual versions of Wikipedia. This approach is compared to the bilingual terminology provided by the Terminology as a Service (TaaS) platform. The small amount of high quality domain-specific terms is passed to the SMT system using the XML markup and the Fill-Up model methods, which produced a relative translation improvement up to 13% BLEU score points.
Publisher
Association for Computational Linguistics
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Attribution-NonCommercial-NoDerivs 3.0 Ireland