Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models

Gyu-Ho Shin; Soo-Hwan Lee; Chanyoung Lee

doi:10.63317/2icd7h29b849

Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models

Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee

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Abstract

The present study introduces a new, open-access dataset on acceptability ratings of Korean clausal constructions at the morphosyntax–semantics interface (dative, passive, and negative polarity item). The dataset comprises (i) linguistically controlled sentence materials, (ii) ratings from targeted adult populations (individuals in their 20s), and (iii) parallel ratings from GPT variants (including ChatGPT). Alongside the release, we assess the alignment between GPT- and human-derived ratings to probe the extent to which GPT architectures can approximate patterns of human sentence comprehension.

Anthology ID:: 2026.lrec-1.23
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 344–356
Language:
External URL:: https://lrec.elra.info/lrec2026-main-023
DOI:: 10.63317/2icd7h29b849
Bibkey:
Cite (ACL):: Gyu-Ho Shin, Soo-Hwan Lee, and Chanyoung Lee. 2026. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 344–356, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models (Shin et al., LREC 2026)
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@inproceedings{shin-etal-2026-open,
    title = "Open-access Dataset on Acceptability Ratings of {K}orean Clausal Constructions by Humans and {GPT} Models",
    author = "Shin, Gyu-Ho  and
      Lee, Soo-Hwan  and
      Lee, Chanyoung",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.23/",
    doi = "10.63317/2icd7h29b849",
    pages = "344--356",
    abstract = "The present study introduces a new, open-access dataset on acceptability ratings of Korean clausal constructions at the morphosyntax{--}semantics interface (dative, passive, and negative polarity item). The dataset comprises (i) linguistically controlled sentence materials, (ii) ratings from targeted adult populations (individuals in their 20s), and (iii) parallel ratings from GPT variants (including ChatGPT). Alongside the release, we assess the alignment between GPT- and human-derived ratings to probe the extent to which GPT architectures can approximate patterns of human sentence comprehension."
}

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%0 Conference Proceedings
%T Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models
%A Shin, Gyu-Ho
%A Lee, Soo-Hwan
%A Lee, Chanyoung
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F shin-etal-2026-open
%X The present study introduces a new, open-access dataset on acceptability ratings of Korean clausal constructions at the morphosyntax–semantics interface (dative, passive, and negative polarity item). The dataset comprises (i) linguistically controlled sentence materials, (ii) ratings from targeted adult populations (individuals in their 20s), and (iii) parallel ratings from GPT variants (including ChatGPT). Alongside the release, we assess the alignment between GPT- and human-derived ratings to probe the extent to which GPT architectures can approximate patterns of human sentence comprehension.
%R 10.63317/2icd7h29b849
%U https://aclanthology.org/2026.lrec-1.23/
%U https://doi.org/10.63317/2icd7h29b849
%P 344-356

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Markdown (Informal)

[Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models](https://aclanthology.org/2026.lrec-1.23/) (Shin et al., LREC 2026)

Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models (Shin et al., LREC 2026)

ACL

Gyu-Ho Shin, Soo-Hwan Lee, and Chanyoung Lee. 2026. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 344–356, Palma de Mallorca, Spain. ELRA Language Resource Association.