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Integration of Dubbing Constraints into Machine Translation

  • Translation systems aim to perform a meaning-preserving conversion of linguistic material (typically text but also speech) from a source to a target language (and, to a lesser degree, the corresponding socio-cultural contexts). Dubbing, i.e., the lip-synchronous translation and revoicing of speech adds to this constraints about the close matching of phonetic and resulting visemic synchrony characteristics of source and target material. There is an inherent conflict between a translation’s meaning preservation and ‘dubbability’ and the resulting trade-off can be controlled by weighing the synchrony constraints. We introduce our work, which to the best of our knowledge is the first of its kind, on integrating synchrony constraints into the machine translation paradigm. We present first results for the integration of synchrony constraints into encoder decoder-based neural machine translation and show that considerably more ‘dubbable’ translations can be achieved with only a small impact on BLEU score, and dubbability improves more steeply than BLEU degrades.

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Metadaten
Author:Ashutosh Saboo, Timo BaumannORCiDGND
DOI:https://doi.org/10.18653/v1/W19-5210
Parent Title (English):Proceedings of the Fourth Conference on Machine Translation, Volume 1: Research Papers
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA, USA
Editor:Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2019
Release Date:2022/04/09
First Page:94
Last Page:101
Institutes:Fakultät Informatik und Mathematik
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
research focus:Information und Kommunikation
Licence (English):Creative Commons - CC BY - Namensnennung 3.0 International