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    Machine translation for everyone

    Empowering users in the age of artificial intelligence

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    Contributor(s)
    Kenny, Dorothy (editor)
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.
    URI
    https://library.oapen.org/handle/20.500.12657/61713
    Keywords
    Computers; Artificial Intelligence; Natural Language Processing
    DOI
    10.5281/zenodo.6653406
    ISBN
    9783985540457, 9783961103485
    Publisher
    Language Science Press
    Publisher website
    https://langsci-press.org/
    Publication date and place
    2022
    Grantor
    • Knowledge Unlatched
    Imprint
    Language Science Press
    Classification
    Natural language and machine translation
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Harvested from KU

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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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