Can text simplification help machine translation?

Štajner, Sanja ; Popović, Maja

Document Type: Article
Year of publication: 2016
The title of a journal, publication series: Baltic Journal of Modern Computing : BJMC
Volume: 4
Issue number: 2
Page range: 230-242
Place of publication: Vilnius
Publishing house: Institute of Mathematics and Informatics, University of Latvia
ISSN: 2255-8942 , 2255-8950
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-2015)
Subject: 004 Computer science, internet
Keywords (English): text simplification , machine translation
Abstract: This article explores the use of text simplification as a pre-processing step for statistical machine translation of grammatically complex under-resourced languages. Our experiments on English-to-Serbian translation show that this approach can improve grammaticality (fluency) of the translation output and reduce technical post-editing effort (number of post-edit operations). Furthermore, the use of more aggressive text simplification methods (which do not only simplify the given sentence but also discard irrelevant information thus producing syntactically very simple sentences) also improves meaning preservation (adequacy) of the translation output.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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