Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/104641
Title: Overview of the CLEF 2022 JOKER Task 3 : pun translation from English into French
Other Titles: Proceedings of the Working Notes of CLEF
Authors: Ermakova, Liana
Regattin, Fabio
Miller, Tristan
Bosser, Anne-Gwenn
Borg, Claudine
Jeanjean, Benoît
Mathurin, Elise
Corre, Gaelle Le
Hannachi, Radia
Araújo, Sílvia
Boccou, Julien
Digue, Albin
Damoy, Aurianne
Keywords: Plays on words
Puns and punning -- Translating
Machine translating -- Case studies
Deep learning (Machine learning)
Issue Date: 2022
Publisher: Rheinisch-Westfaelische Technische Hochschule Aachen. Lehrstuhl Informatik V
Citation: Ermakova, L., Regattin, F., Miller, T., Bosser, A.G., Borg, C., Jeanjean, B.,... Damoy, A. (2022). Overview of the CLEF 2022 JOKER Task 3: Pun Translation from English into French. In. G. Faggioli, N. Ferro, A. Hanbury, M. Potthastet (Eds.), Proceedings of the Working Notes of CLEF (pp. 1681-1700). Rheinisch-Westfaelische Technische Hochschule Aachen. Lehrstuhl Informatik V.
Abstract: The translation of the pun is one of the most challenging issues for translators and for this reason has become an intensively studied phenomenon in the field of translation studies. Translation technology aims to partially or even totally automate the translation process, but relatively little attention has been paid to the use of computers for the translation of wordplay. The CLEF 2022 JOKER track aims to build a multilingual corpus of wordplay and evaluation metrics in order to advance the automation of creative-language translation. This paper provides an overview of the track’s Pilot Task 3, where the goal is to translate entire phrases containing wordplay (particularly puns). We describe the data collection, the task setup, the evaluation procedure, and the participants’ results. We also cover a side product of our project, a homogeneous monolingual corpus for wordplay detection in French.
URI: https://www.um.edu.mt/library/oar/handle/123456789/104641
ISSN: 16130073
Appears in Collections:Scholarly Works - FacArtTTI

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