external_content.pdf

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: Language Science Press 2023
id oapen-20.500.12657-61713
record_format dspace
spelling oapen-20.500.12657-617132024-03-27T14:14:38Z 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. 2023-03-16T05:31:46Z 2023-03-16T05:31:46Z 2022 book 9783985540457 https://library.oapen.org/handle/20.500.12657/61713 eng application/pdf Attribution 4.0 International external_content.pdf Language Science Press Language Science Press 10.5281/zenodo.6653406 10.5281/zenodo.6653406 0bad921f-3055-43b9-a9f1-ea5b2d949173 b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9783985540457 Knowledge Unlatched (KU) Language Science Press Knowledge Unlatched open access
institution OAPEN
collection DSpace
language English
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.
title external_content.pdf
spellingShingle external_content.pdf
title_short external_content.pdf
title_full external_content.pdf
title_fullStr external_content.pdf
title_full_unstemmed external_content.pdf
title_sort external_content.pdf
publisher Language Science Press
publishDate 2023
_version_ 1799945297859706880