Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information

Anton Bulle Labate; Fabio Gagliardi Cozman

Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information

Anton Bulle Labate, Fabio Gagliardi Cozman

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Abstract

This paper investigates whether injecting semantic structural knowledge of low-resource or unfamiliar languages into Large Language Models (LLMs) enhances performance on downstream Text-to-SQL tasks. We evaluate our approach on Galician, a Romance low-resource language, and, to demonstrate its generality, also on Guarani, a (very) low-resource language of an entirely distinct linguistic profile. Our empirical results show that semantically-aware models consistently outperform baselines across all benchmark metrics.

Anthology ID:: 2026.propor-1.106
Volume:: Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
Month:: April
Year:: 2026
Address:: Salvador, Brazil
Editors:: Marlo Souza, Iria de-Dios-Flores, Diana Santos, Larissa Freitas, Jackson Wilke da Cruz Souza, Eugénio Ribeiro
Venue:: PROPOR
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1032–1037
Language:
URL:: https://aclanthology.org/2026.propor-1.106/
DOI:
Bibkey:
Cite (ACL):: Anton Bulle Labate and Fabio Gagliardi Cozman. 2026. Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 1032–1037, Salvador, Brazil. Association for Computational Linguistics.
Cite (Informal):: Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information (Labate & Cozman, PROPOR 2026)
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PDF:: https://aclanthology.org/2026.propor-1.106.pdf

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@inproceedings{labate-cozman-2026-semantic,
    title = "Semantic adapters in text-to-{SQL} for low-resource languages: the importance of semantic information",
    author = "Labate, Anton Bulle  and
      Cozman, Fabio Gagliardi",
    editor = "Souza, Marlo  and
      de-Dios-Flores, Iria  and
      Santos, Diana  and
      Freitas, Larissa  and
      Souza, Jackson Wilke da Cruz  and
      Ribeiro, Eug{\'e}nio",
    booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 1",
    month = apr,
    year = "2026",
    address = "Salvador, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.propor-1.106/",
    pages = "1032--1037",
    ISBN = "979-8-89176-387-6",
    abstract = "This paper investigates whether injecting semantic structural knowledge of low-resource or unfamiliar languages into Large Language Models (LLMs) enhances performance on downstream Text-to-SQL tasks. We evaluate our approach on Galician, a Romance low-resource language, and, to demonstrate its generality, also on Guarani, a (very) low-resource language of an entirely distinct linguistic profile. Our empirical results show that semantically-aware models consistently outperform baselines across all benchmark metrics."
}

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%0 Conference Proceedings
%T Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information
%A Labate, Anton Bulle
%A Cozman, Fabio Gagliardi
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F labate-cozman-2026-semantic
%X This paper investigates whether injecting semantic structural knowledge of low-resource or unfamiliar languages into Large Language Models (LLMs) enhances performance on downstream Text-to-SQL tasks. We evaluate our approach on Galician, a Romance low-resource language, and, to demonstrate its generality, also on Guarani, a (very) low-resource language of an entirely distinct linguistic profile. Our empirical results show that semantically-aware models consistently outperform baselines across all benchmark metrics.
%U https://aclanthology.org/2026.propor-1.106/
%P 1032-1037

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Markdown (Informal)

[Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information](https://aclanthology.org/2026.propor-1.106/) (Labate & Cozman, PROPOR 2026)

Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information (Labate & Cozman, PROPOR 2026)

ACL

Anton Bulle Labate and Fabio Gagliardi Cozman. 2026. Semantic adapters in text-to-SQL for low-resource languages: the importance of semantic information. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 1032–1037, Salvador, Brazil. Association for Computational Linguistics.