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    Problem solving activities in post-editing and translation from scratch

    A multi-method study

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    Author(s)
    Nitzke, Jean
    Collection
    Knowledge Unlatched (KU)
    Number
    104796
    Language
    English
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    Abstract
    Translation and post-editing can often be categorised as problem-solving activities. When the translation of a source text unit is not immediately obvious to the translator, or in other words, if there is a hurdle between the source item and the target item, the translation process can be considered problematic. Conversely, if there is no hurdle between the source and target texts, the translation process can be considered a task-solving activity and not a problem-solving activity. This study investigates whether machine translated output influences problem-solving effort in internet research, syntax, and other problem indicators and whether the effort can be linked to expertise. A total of 24 translators (twelve professionals and twelve semi-professionals) produced translations from scratch from English into German, and (monolingually) post-edited machine translation output for this study. The study is part of the CRITT TPR-DB database.
    URI
    http://library.oapen.org/handle/20.500.12657/25234
    Keywords
    Linguistics
    DOI
    10.5281/zenodo.2546446
    ISBN
    9783961101313
    OCN
    1100529504
    Publisher
    Language Science Press
    Publisher website
    https://langsci-press.org/
    Publication date and place
    Berlin, 2019-02-25
    Grantor
    • Knowledge Unlatched - 104796 - Language Science Press 2018 - 2020
    Series
    Translation and Multilingual Natural Language Processing,
    Classification
    Translation and interpretation
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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