On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao

Pool Pocco; Arturo Oncevay

On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao

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Abstract

We present a morphosyntactically controlled transformation dataset for Quechua Collao and evaluate large language models on a sentence-level transformation task under varying prompting conditions. Results show that performance depends on the interaction between model behavior, context size, and linguistic complexity, with smaller models benefiting more from additional examples and morphological hints providing selective gains.

Anthology ID:: 2026.americasnlp-6.12
Volume:: Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
Month:: July
Year:: 2026
Address:: San Diego, California, USA
Editors:: Manuel Mager, Abteen Ebrahimi, Minh Duc Bui, Robert Pugh, Arturo Oncevay, Luis Chiruzzo, Rolando Coto Solano, Shruti Rijhwani, Katharina Von Der Wense
Venues:: AmericasNLP | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 128–146
Language:
URL:: https://aclanthology.org/2026.americasnlp-6.12/
DOI:
Bibkey:
Cite (ACL):: Pool Pocco and Arturo Oncevay. 2026. On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao. In Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP), pages 128–146, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):: On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao (Pocco & Oncevay, AmericasNLP 2026)
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PDF:: https://aclanthology.org/2026.americasnlp-6.12.pdf
Supplementarymaterial:: 2026.americasnlp-6.12.SupplementaryMaterial.zip

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@inproceedings{pocco-oncevay-2026-robustness,
    title = "On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of {Q}uechua Collao",
    author = "Pocco, Pool  and
      Oncevay, Arturo",
    editor = "Mager, Manuel  and
      Ebrahimi, Abteen  and
      Bui, Minh Duc  and
      Pugh, Robert  and
      Oncevay, Arturo  and
      Chiruzzo, Luis  and
      Solano, Rolando Coto  and
      Rijhwani, Shruti  and
      Von Der Wense, Katharina",
    booktitle = "Proceedings of the Sixth Workshop on {NLP} for Indigenous Languages of the {A}mericas ({A}mericas{NLP})",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.americasnlp-6.12/",
    pages = "128--146",
    ISBN = "979-8-89176-415-6",
    abstract = "We present a morphosyntactically controlled transformation dataset for Quechua Collao and evaluate large language models on a sentence-level transformation task under varying prompting conditions. Results show that performance depends on the interaction between model behavior, context size, and linguistic complexity, with smaller models benefiting more from additional examples and morphological hints providing selective gains."
}

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%0 Conference Proceedings
%T On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao
%A Pocco, Pool
%A Oncevay, Arturo
%Y Mager, Manuel
%Y Ebrahimi, Abteen
%Y Bui, Minh Duc
%Y Pugh, Robert
%Y Oncevay, Arturo
%Y Chiruzzo, Luis
%Y Solano, Rolando Coto
%Y Rijhwani, Shruti
%Y Von Der Wense, Katharina
%S Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-415-6
%F pocco-oncevay-2026-robustness
%X We present a morphosyntactically controlled transformation dataset for Quechua Collao and evaluate large language models on a sentence-level transformation task under varying prompting conditions. Results show that performance depends on the interaction between model behavior, context size, and linguistic complexity, with smaller models benefiting more from additional examples and morphological hints providing selective gains.
%U https://aclanthology.org/2026.americasnlp-6.12/
%P 128-146

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Markdown (Informal)

[On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao](https://aclanthology.org/2026.americasnlp-6.12/) (Pocco & Oncevay, AmericasNLP 2026)

On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao (Pocco & Oncevay, AmericasNLP 2026)

ACL

Pool Pocco and Arturo Oncevay. 2026. On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao. In Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP), pages 128–146, San Diego, California, USA. Association for Computational Linguistics.