A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again

Lucelene Lopes; Magali S. Duran; Thiago A. S. Pardo

A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again

Lucelene Lopes, Magali S. Duran, Thiago A. S. Pardo

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Abstract

This paper reports on an effort to recover the classical morphosyntactically annotated corpus MacMorpho and realign it with the current version of the Universal Dependencies framework. We introduce a knowledge-rich approach grounded in a syntactic parser and on a specially designed tagset compatibility strategy in order to generate a "silver-standard" resource: the MacMorpho-UD-2.17. We evaluate this resource through multiple complementary methods, providing evidence for the quality of both our approach and the resulting annotation.

Anthology ID:: 2026.propor-1.24
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:: 240–249
Language:
URL:: https://aclanthology.org/2026.propor-1.24/
DOI:
Bibkey:
Cite (ACL):: Lucelene Lopes, Magali S. Duran, and Thiago A. S. Pardo. 2026. A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 240–249, Salvador, Brazil. Association for Computational Linguistics.
Cite (Informal):: A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again (Lopes et al., PROPOR 2026)
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PDF:: https://aclanthology.org/2026.propor-1.24.pdf

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@inproceedings{lopes-etal-2026-ud,
    title = "A {UD} Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again",
    author = "Lopes, Lucelene  and
      Duran, Magali S.  and
      Pardo, Thiago A. S.",
    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-1.24/",
    pages = "240--249",
    ISBN = "979-8-89176-387-6",
    abstract = "This paper reports on an effort to recover the classical morphosyntactically annotated corpus MacMorpho and realign it with the current version of the Universal Dependencies framework. We introduce a knowledge-rich approach grounded in a syntactic parser and on a specially designed tagset compatibility strategy in order to generate a ``silver-standard'' resource: the MacMorpho-UD-2.17. We evaluate this resource through multiple complementary methods, providing evidence for the quality of both our approach and the resulting annotation."
}

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%0 Conference Proceedings
%T A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again
%A Lopes, Lucelene
%A Duran, Magali S.
%A Pardo, Thiago A. S.
%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 lopes-etal-2026-ud
%X This paper reports on an effort to recover the classical morphosyntactically annotated corpus MacMorpho and realign it with the current version of the Universal Dependencies framework. We introduce a knowledge-rich approach grounded in a syntactic parser and on a specially designed tagset compatibility strategy in order to generate a “silver-standard” resource: the MacMorpho-UD-2.17. We evaluate this resource through multiple complementary methods, providing evidence for the quality of both our approach and the resulting annotation.
%U https://aclanthology.org/2026.propor-1.24/
%P 240-249

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Markdown (Informal)

[A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again](https://aclanthology.org/2026.propor-1.24/) (Lopes et al., PROPOR 2026)

A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again (Lopes et al., PROPOR 2026)

ACL

Lucelene Lopes, Magali S. Duran, and Thiago A. S. Pardo. 2026. A UD Parser to the Rescue: A Method for Bringing a Classical Annotated Corpus to Life Again. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 240–249, Salvador, Brazil. Association for Computational Linguistics.