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        <title>Examining Large Language Models’ form-meaning mappings of information structure constructions in Mandarin Chinese</title>
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    <abstract>Construction Grammar (CxG) knowledge in language models has been extensively studied for English, but remains underexplored in other languages. In Mandarin Chinese, the ba (把, disposal) and bei (被, passive) constructions are widely used for managing information structure. They foreground topical elements (information structure) and encode systematic form-meaning mappings (CxG), particularly with respect to the semantic role of the object. We probe language models’ linguistic competence with these constructions using minimal pairs, constructing a new minimal-pair dataset comprising seven paradigms that target both syntactic constraints and verb–construction compatibility. Our results show that it remains a challenge for many models to capture the form-meaning mappings underlying the ba construction, although they achieve high accuracy on paradigms driven by surface syntactic cues.</abstract>
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%0 Conference Proceedings
%T Examining Large Language Models’ form-meaning mappings of information structure constructions in Mandarin Chinese
%A Li, Shihui
%A Tan, Xiaojuan
%A Bloem, Jelke
%Y Bonial, Claire
%Y Berzak, Yevgeni
%S Proceedings of the 30th Conference on Computational Natural Language Learning
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-410-1
%F li-etal-2026-examining
%X Construction Grammar (CxG) knowledge in language models has been extensively studied for English, but remains underexplored in other languages. In Mandarin Chinese, the ba (把, disposal) and bei (被, passive) constructions are widely used for managing information structure. They foreground topical elements (information structure) and encode systematic form-meaning mappings (CxG), particularly with respect to the semantic role of the object. We probe language models’ linguistic competence with these constructions using minimal pairs, constructing a new minimal-pair dataset comprising seven paradigms that target both syntactic constraints and verb–construction compatibility. Our results show that it remains a challenge for many models to capture the form-meaning mappings underlying the ba construction, although they achieve high accuracy on paradigms driven by surface syntactic cues.
%U https://aclanthology.org/2026.conll-main.37/
%P 613-625

Markdown (Informal)

[Examining Large Language Models’ form-meaning mappings of information structure constructions in Mandarin Chinese](https://aclanthology.org/2026.conll-main.37/) (Li et al., CoNLL 2026)

• Examining Large Language Models’ form-meaning mappings of information structure constructions in Mandarin Chinese (Li et al., CoNLL 2026)

ACL

• Shihui Li, Xiaojuan Tan, and Jelke Bloem. 2026. Examining Large Language Models’ form-meaning mappings of information structure constructions in Mandarin Chinese. In Proceedings of the 30th Conference on Computational Natural Language Learning, pages 613–625, San Diego, California, USA. Association for Computational Linguistics.