Machine-Aided Literary Translation: State of Affairs in the Early 2020s
Автор: Trinity Centre for Literary & Cultural Translation
Загружено: 2021-12-06
Просмотров: 204
Описание:
Antonio Toral (University of Groningen)
To what extent can machine translation be used to translate literary texts? Could such machine translations be of any use to professional literary translators? Could readers benefit in any way from the resulting machine-aided translations?
Through these and other related questions, I aim to present the current state of affairs concerning the application of machine translation to literary texts, focusing on fiction. Taking into account the shortcomings encountered to date, I will then outline potential lines of research that may occupy us in the first half of the 2020s.
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