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.
