Kristiina Taivalkoski-Shilov
2022
Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts
Aleksandra Konovalova
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Antonio Toral
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Kristiina Taivalkoski-Shilov
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
Character identification is a key element for many narrative-related tasks. To implement it, the baseform of the name of the character (or lemma) needs to be identified, so different appearances of the same character in the narrative could be aligned. In this paper we tackle this problem in translated texts (English–Finnish translation direction), where the challenge regarding lemmatizing foreign names in an agglutinative language appears. To solve this problem, we present and compare several methods. The results show that the method based on a search for the shortest version of the name proves to be the easiest, best performing (83.4% F1), and most resource-independent.
2019
Free indirect discourse: an insurmountable challenge for literary MT systems?
Kristiina Taivalkoski-Shilov
Proceedings of the Qualities of Literary Machine Translation
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