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arXiv · 2507.09536

Adapting Definition Modeling for New Languages: A Case Study on Belarusian

Daniela Kazakouskaya·Timothee Mickus·Janine Siewert
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Abstract

Definition modeling, the task of generating new definitions for words in context, holds great prospect as a means to assist the work of lexicographers in documenting a broader variety of lects and languages, yet much remains to be done in order to assess how we can leverage pre-existing models for as-of-yet unsupported languages. In this work, we focus on adapting existing models to Belarusian, for which we propose a novel dataset of 43,150 definitions. Our experiments demonstrate that adapting a definition modeling systems requires minimal amounts of data, but that there currently are gaps in what automatic metrics do capture.

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Daniela Kazakouskaya, Timothee Mickus, Janine Siewert. 2025-07-13. Adapting Definition Modeling for New Languages: A Case Study on Belarusian. https://arxiv.org/abs/2507.09536

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