Development of Post-editing Rules for Improving the Comprehensibility of Machine Translated Scientific Article Abstracts

Diplôme Master Development of Post-editing Rules for Improving the Comprehensibility of Machine Translated Scientific Article Abstracts eng 2017 author Maldonado Carrasco Laura 682411 director Seretan Violeta 548043 This research work aims to assess the impact of a set of post-editing rules that have been specifically designed to improve the comprehensibility of Spanish machine translations. For this study we have selected a corpus of scientific article abstracts that have been originally written in English and that have been published on the Internet. As these texts are easily available, we have used Google Translate to obtain our corpora. Our post-editing rules mainly focus on improving the syntax and style of ambiguous sentences that may prevent the general public from understanding the content. In order to evaluate the set of rules, we have carried out a bilingual human evaluation with 5 annotators and we have computed two statistical tests. Results suggest that the set of post-editing rules have improved the raw translators. Controlled Language Machine Translation Post-editing Dewey 418.02 Dewey 410.2 Maîtrise universitaire en traduction mention technologies de la traduction 112 Département de traitement informatique multilingue 92 false f74f0128-c025-4d89-92f5-f92cdc9b8819 Master thesis Restricted Laura_Maldonado.pdf 1001119 application/pdf restrictedAccess Faculté de traduction et d'interprétation / Département de traitement informatique multilingue

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Development of Post-editing Rules for Improving the Comprehensibility of Machine Translated Scientific Article Abstracts				2017	144	4

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Maldonado Carrasco, Laura