Machine translation for everyone

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...

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フォーマット: Online
言語:英語
出版事項: Language Science Press 2023
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オンライン・アクセス:https://library.oapen.org/handle/20.500.12657/61713
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collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-985772025-07-31T15:35:45Z Machine translation for everyone Kenny, Dorothy Computers Artificial Intelligence Natural Language Processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation 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. 2023-03-20T09:21:46Z 2023-03-20T09:21:46Z 2023-03-16T05:31:46Z 2022 book https://library.oapen.org/handle/20.500.12657/61713 9783985540457 https://directory.doabooks.org/handle/20.500.12854/98577 eng open access image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/61713/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/61713/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/61713/1/external_content.pdf Language Science Press Language Science Press 10.5281/zenodo.6653406 10.5281/zenodo.6653406 ed03121b-b998-4b50-8d58-1d0745565558 Knowledge Unlatched 9783985540457 Knowledge Unlatched (KU) KU Open Services Language Science Press open access
spellingShingle Computers
Artificial Intelligence
Natural Language Processing
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
Machine translation for everyone
title Machine translation for everyone
title_full Machine translation for everyone
title_fullStr Machine translation for everyone
title_full_unstemmed Machine translation for everyone
title_short Machine translation for everyone
title_sort machine translation for everyone
topic Computers
Artificial Intelligence
Natural Language Processing
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
topic_facet Computers
Artificial Intelligence
Natural Language Processing
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
url https://library.oapen.org/handle/20.500.12657/61713