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%0 Conference Proceedings
%T Investigating strategies for lexical complexity prediction in a multilingual setting using generative language models and supervised approaches
%A Kelious, Abdelhak
%A Constant, Mathieu
%A Coeur, Christophe
%Y Gaillat, Thomas
%Y Mallart, Cyriel
%Y Moreau, Fabienne
%Y Li, Jen-Yu
%Y Drouet, Griselda
%Y Alfter, David
%Y Volodina, Elena
%Y Jönsson, Arne
%S Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning
%D 2024
%8 October
%I LiU Electronic Press
%C Rennes, France
%F kelious-etal-2024-investigating
%U https://aclanthology.org/2024.nlp4call-1.8
%P 96-114

Markdown (Informal)

[Investigating strategies for lexical complexity prediction in a multilingual setting using generative language models and supervised approaches](https://aclanthology.org/2024.nlp4call-1.8) (Kelious et al., NLP4CALL-WS 2024)

• Investigating strategies for lexical complexity prediction in a multilingual setting using generative language models and supervised approaches (Kelious et al., NLP4CALL-WS 2024)

ACL

• Abdelhak Kelious, Mathieu Constant, and Christophe Coeur. 2024. Investigating strategies for lexical complexity prediction in a multilingual setting using generative language models and supervised approaches. In Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning, pages 96–114, Rennes, France. LiU Electronic Press.