Post-editing English to Japanese statistical machine translation : effort and productivity A comparative analysis of three different Moses configurations

Diplôme Master Post-editing English to Japanese statistical machine translation : effort and productivity A comparative analysis of three different Moses configurations eng 2012 author Di Rosa Stéphanie 729017 director Bouillon Pierrette 0000-0002-8854-6360 26962 This thesis explores the correlations between statistical machine translation quality and post-editing activity of the English to Japanese language pair. Building on some previous research done at Autodesk Development Sàrl., and using a qualitative post-editing (PE) analysis method based on logical edits, we conducted a separate short research to determine the effort involved to post-edit machine translation (MT) stemming from different Moses configurations. We specially wanted to see whether it was establish correlations between MT quality, PE effort and productivity with the designed metric. Although, due to data scarcity, not all results are conclusive, this preliminary study has shows that carrying out a qualitative, logical-edits-based analysis of post-editing is informative as to areas of potential improvement in the raw machine translation output and post-editing activity in general. We suggested future work, in particular to determine the differences with post-editing analyses conducted with automated metrics. Dewey 410.2 Maîtrise universitaire en traduction mention technologies de la traduction 112 Département de traitement informatique multilingue 92 false b0f26cbe-e2df-4edf-80cc-2e800897d0f4 Master thesis Public DIROSA_MAThesis_final.pdf 2488148 application/pdf openAccess Faculté de traduction et d'interprétation / Département de traitement informatique multilingue

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Post-editing English to Japanese statistical machine translation : effort and productivity A comparative analysis of three different Moses configurations				2012	951	631

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Di Rosa, Stéphanie