Machine translation quality in an audiovisual context

Burchardt, A., Lommel, A., Bywood, L., Harris, K. and Popovic, M. 2016. Machine translation quality in an audiovisual context. Target. 28 (2), pp. 206-221. https://doi.org/10.1075/target.28.2.03bur

TitleMachine translation quality in an audiovisual context
AuthorsBurchardt, A.
Lommel, A.
Bywood, L.
Harris, K.
Popovic, M.
Abstract

The volume of Audiovisual Translation (AVT) is increasing to meet the rising demand for data that needs to be accessible around the world. Machine Translation (MT) is one of the most innovative technologies to be deployed in the field of translation, but it is still too early to predict how it can support the creativity and productivity of professional translators in the future. Currently, MT is more widely used in (non-AV) text translation than in AVT. In this article, we discuss MT technology and demonstrate why its use in AVT scenarios is particularly challenging. We also present some potentially useful methods and tools for measuring MT quality that have been developed primarily for text translation. The ultimate objective is to bridge the gap between the tech-savvy AVT community, on the one hand, and researchers and developers in the field of high-quality MT, on the other.

KeywordsMachine translation, translation quality, evaluation, audiovisual translation
JournalTarget
Journal citation28 (2), pp. 206-221
ISSN0924-1884
Year2016
PublisherJohn Benjamins
Accepted author manuscript
Digital Object Identifier (DOI)https://doi.org/10.1075/target.28.2.03bur
Publication dates
Published05 Aug 2016

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