A4 Refereed article in a conference publication
Man vs. Machine: Extracting Character Networks from Human and Machine Translations
Authors: Konovalova Aleksandra,Toral Antonio
Editors: N/A
Conference name: SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Publishing place: Gyeongju, Republic of Korea
Publication year: 2022
Journal: Proceedings of COLING: International Conference on Computational Linguistics
Book title : Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
First page : 75
Last page: 82
Web address : https://aclanthology.org/2022.latechclfl-1.10/
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/176955473
Most of the work on Character Networks to date is limited to monolingual texts. Conversely, in this paper we apply and analyze Character Networks on both source texts (English novels) and their Finnish translations (both human- and machine-translated). We assume that this analysis could provide some insights on changes in translations that could modify the character networks, as well as the narrative. The results show that the character networks of translations differ from originals in case of long novels, and the differences may also vary depending on the novel and translator’s strategy.
Downloadable publication This is an electronic reprint of the original article. |  |
