CLIX: Cross-Lingual Explanations of Idiomatic Expressions

Automated definition generation systems have been proposed to support vocabulary expansion for language learners.The main barrier to the success of these systems is that learners often struggle to understand definitions due to the presence of potentially unfamiliar words and grammar, particularly when non-standard language is involved.To address these challenges, we propose CLIX, the task of Cross-Lingual explanations of Idiomatic eXpressions.We explore the capabilities of current NLP models for this task and observe that, while it remains challenging, large language models show promise.Finally, we perform a detailed error analysis to highlight the key challenges that need to be addressed before we can reliably incorporate these systems into educational tools.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.233
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

CLIX: Cross-Lingual Explanations of Idiomatic Expressions

María Leonor Pacheco, Katharina von der Wense, Aaron Gluck
Natural Language Processing Techniques
article

CLIX: Cross-Lingual Explanations of Idiomatic Expressions

María Leonor Pacheco, Katharina von der Wense, Aaron Gluck
article en

Abstract

Automated definition generation systems have been proposed to support vocabulary expansion for language learners.The main barrier to the success of these systems is that learners often struggle to understand definitions due to the presence of potentially unfamiliar words and grammar, particularly when non-standard language is involved.To address these challenges, we propose CLIX, the task of Cross-Lingual explanations of Idiomatic eXpressions.We explore the capabilities of current NLP models for this task and observe that, while it remains challenging, large language models show promise.Finally, we perform a detailed error analysis to highlight the key challenges that need to be addressed before we can reliably incorporate these systems into educational tools.

University of Colorado Boulder
Quality Education
Openalex Percentile: Top 90%
Natural Language Processing Techniques
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