Incorporating Human Translator Style into English-Turkish Literary Machine Translation

Zeynep Yirmibeşoğlu, Olgun Dursun, Harun Dalli, Mehmet Şahin, Ena Hodzik, Sabri Gürses, Tunga Güngör

Abstract
Although machine translation systems are mostly designed to serve in the general domain, there is a growing tendency to adapt these systems to other domains like literary translation. In this paper, we focus on English-Turkish literary translation and develop machine translation models that take into account the stylistic features of translators. We fine-tune a pre-trained machine translation model by the manually-aligned works of a particular translator. We make a detailed analysis of the effects of manual and automatic alignments, data augmentation methods, and corpus size on the translations. We propose an approach based on stylistic features to evaluate the style of a translator in the output translations. We show that the human translator style can be highly recreated in the target machine translations by adapting the models to the style of the translator.
Anthology ID:
2023.eamt-1.40
Volume:
Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2023
Address:
Tampere, Finland
Editors:
Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
419–428
Language:
URL:
https://aclanthology.org/2023.eamt-1.40
DOI:
Bibkey:
Cite (ACL):
Zeynep Yirmibeşoğlu, Olgun Dursun, Harun Dalli, Mehmet Şahin, Ena Hodzik, Sabri Gürses, and Tunga Güngör. 2023. Incorporating Human Translator Style into English-Turkish Literary Machine Translation. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 419–428, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):
Incorporating Human Translator Style into English-Turkish Literary Machine Translation (Yirmibeşoğlu et al., EAMT 2023)
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