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Mathematical linguistics --- Translation science --- Theory of literary translation --- 82.035 --- Literatuur. Algemene literatuurwetenschap--?.035 --- Automatisch vertalen --- Corpus linguistics --- Vertalen Duits-Engels --- Vertalen en corpuslinguïstiek --- 82.035 Literatuur. Algemene literatuurwetenschap--?.035 --- Automatisch vertalen. --- Corpus linguistics. --- Vertalen Duits-Engels. --- Vertalen en corpuslinguïstiek. --- German language --- Linguistics --- Machine translating --- Translating and interpreting --- Interpretation and translation --- Interpreting and translating --- Language and languages --- Literature --- Translation and interpretation --- Translators --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Cross-language information retrieval --- Translating machines --- Linguistic science --- Science of language --- Ashkenazic German language --- Hochdeutsch --- Judaeo-German language (German) --- Judendeutsch language --- Judeo-German language (German) --- Jüdisch-Deutsch language --- Jüdischdeutsch language --- Germanic languages --- Translating into English&delete& --- Data processing --- Translating --- Pragmatiek --- Vertaalkunde --- Wiskundige taalkunde --- Literaire vertaalkunde --- Pragmatics --- Translating into English

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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.

Computers --- Computers / Artificial Intelligence / Natural Language Processing

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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.

Machine translating

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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.

Machine translating

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016 --- 82.035 --- #KVHA:Vertaalwetenschap; bibliografieen --- Vakbibliografieën als onderwerp. Over vakbibliografieën --- Literatuur. Algemene literatuurwetenschap--?.035 --- Vertaalwetenschap --- bibliografieën --- bibliografieën. --- 82.035 Literatuur. Algemene literatuurwetenschap--?.035 --- 016 Vakbibliografieën als onderwerp. Over vakbibliografieën