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Comparing Translation and Post-editing: An Annotation Schema for Activity Units

  • Jean NitzkeEmail author
  • Katharina Oster
Chapter
Part of the New Frontiers in Translation Studies book series (NFTS)

Abstract

The current chapter introduces an annotation schema of TPR data that categorises post-editing behaviour into five different classes and compares general-language and domain-specific English-to-German translation and post-editing with respect to production times, key-logging (text production activity and text elimination activity) and eye-tracking data (total reading times on source text and on target text). The results support the hypothesis that post-editing is faster than translation from scratch for both domain-specific and non-domain-specific text types. When key-logging and eye-tracking data are taken into consideration, domain-specific texts require more effort when translating from scratch, but less effort, when the machine translation output is post-edited. It is hypothesized that the introduced annotation schema could provide more details about translation processes, and better insights into the differences between different domains.

Keywords

Translation process research LSP Key-logging Eye-tracking Post-editing Annotation schema 

Notes

Acknowledgement

We would like to thank David Imgrund who helped conduct the experiments in study II and Anke Tardel who helped prepare the data for analysis.

References

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department for Language, Culture and Translation Studies Germersheim (FTSK)University of MainzMainzGermany

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