33.2447, Books: Machine translation for everyone: Empowering users in the age of artificial intelligence: Kenny (ed.)

[The LINGUIST List]

LINGUIST List: Vol-33-2447. Tue Aug 09 2022. ISSN: 1069 - 4875.

Subject: 33.2447, Books: Machine translation for everyone: Empowering users in the age of artificial intelligence: Kenny (ed.)

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Date: Tue, 09 Aug 2022 21:05:49
From: Sebastian Nordhoff [Sebastian.Nordhoff at langsci-press.org]
Subject: Machine translation for everyone: Empowering users in the age of artificial intelligence: Kenny (ed.)

 


Title: Machine translation for everyone: Empowering users in the age of
artificial intelligence 
Series Title: Translation and Multilingual Natural Language Processing  

Publication Year: 2022 
Publisher: Language Science Press
	   http://langsci-press.org
	

Book URL: https://langsci-press.org/catalog/book/342 


Editor: Dorothy Kenny

Electronic: ISBN:  9783961103485 Pages: 224 Price: Europe EURO 0.00 Comment: Open Access


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.
 



Linguistic Field(s): Computational Linguistics
                     Translation


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=162774




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