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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 |
Files in This Item:
File | Description | Size | Format | |
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Overview_of_the_CLEF_2022_JOKER_task_3.pdf | 463.66 kB | Adobe PDF | View/Open |
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