Automatic Metrical Scansion of Galician Poetry: First Results

Pablo Ruiz Fabo; Pauline Moreau; Anxo Alonso Pérez

Automatic Metrical Scansion of Galician Poetry: First Results

Pablo Ruiz Fabo, Pauline Moreau, Anxo Alonso Pérez

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use <b>...</b> for bold, <i>...</i> for italic, and <url>...</url> for URLs.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Abstract

We present the first public, user-friendly system for Galician poetry scansion, a symbolic system derived from a well-performing mixed-meter Spanish scansion library. We adapted its resources to Galician and added a preprocessing module. The system achieves 88% per-line accuracy in exact stress-pattern match on data unseen during development, and has practical value: First, it helps create a large annotated corpus to train scansion systems. Second, its web interface can help engage a non-specialist public. Third, its current accuracy is helpful for annotating large volumes of poetry and studying metrical trends in Computational Literary Studies use cases.

Anthology ID:: 2026.propor-1.101
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:: 994–1004
Language:
URL:: https://aclanthology.org/2026.propor-1.101/
DOI:
Bibkey:
Cite (ACL):: Pablo Ruiz Fabo, Pauline Moreau, and Anxo Alonso Pérez. 2026. Automatic Metrical Scansion of Galician Poetry: First Results. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 994–1004, Salvador, Brazil. Association for Computational Linguistics.
Cite (Informal):: Automatic Metrical Scansion of Galician Poetry: First Results (Fabo et al., PROPOR 2026)
Copy Citation:
PDF:: https://aclanthology.org/2026.propor-1.101.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{fabo-etal-2026-automatic,
    title = "Automatic Metrical Scansion of {G}alician Poetry: First Results",
    author = "Fabo, Pablo Ruiz  and
      Moreau, Pauline  and
      P{\'e}rez, Anxo Alonso",
    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-1.101/",
    pages = "994--1004",
    ISBN = "979-8-89176-387-6",
    abstract = "We present the first public, user-friendly system for Galician poetry scansion, a symbolic system derived from a well-performing mixed-meter Spanish scansion library. We adapted its resources to Galician and added a preprocessing module. The system achieves 88{\%} per-line accuracy in exact stress-pattern match on data unseen during development, and has practical value: First, it helps create a large annotated corpus to train scansion systems. Second, its web interface can help engage a non-specialist public. Third, its current accuracy is helpful for annotating large volumes of poetry and studying metrical trends in Computational Literary Studies use cases."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="fabo-etal-2026-automatic">
    <titleInfo>
        <title>Automatic Metrical Scansion of Galician Poetry: First Results</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Pablo</namePart>
        <namePart type="given">Ruiz</namePart>
        <namePart type="family">Fabo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Pauline</namePart>
        <namePart type="family">Moreau</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Anxo</namePart>
        <namePart type="given">Alonso</namePart>
        <namePart type="family">Pérez</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-04</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Marlo</namePart>
            <namePart type="family">Souza</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Iria</namePart>
            <namePart type="family">de-Dios-Flores</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Diana</namePart>
            <namePart type="family">Santos</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Larissa</namePart>
            <namePart type="family">Freitas</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jackson</namePart>
            <namePart type="given">Wilke</namePart>
            <namePart type="given">da</namePart>
            <namePart type="given">Cruz</namePart>
            <namePart type="family">Souza</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Eugénio</namePart>
            <namePart type="family">Ribeiro</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Salvador, Brazil</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-387-6</identifier>
    </relatedItem>
    <abstract>We present the first public, user-friendly system for Galician poetry scansion, a symbolic system derived from a well-performing mixed-meter Spanish scansion library. We adapted its resources to Galician and added a preprocessing module. The system achieves 88% per-line accuracy in exact stress-pattern match on data unseen during development, and has practical value: First, it helps create a large annotated corpus to train scansion systems. Second, its web interface can help engage a non-specialist public. Third, its current accuracy is helpful for annotating large volumes of poetry and studying metrical trends in Computational Literary Studies use cases.</abstract>
    <identifier type="citekey">fabo-etal-2026-automatic</identifier>
    <location>
        <url>https://aclanthology.org/2026.propor-1.101/</url>
    </location>
    <part>
        <date>2026-04</date>
        <extent unit="page">
            <start>994</start>
            <end>1004</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Automatic Metrical Scansion of Galician Poetry: First Results
%A Fabo, Pablo Ruiz
%A Moreau, Pauline
%A Pérez, Anxo Alonso
%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 fabo-etal-2026-automatic
%X We present the first public, user-friendly system for Galician poetry scansion, a symbolic system derived from a well-performing mixed-meter Spanish scansion library. We adapted its resources to Galician and added a preprocessing module. The system achieves 88% per-line accuracy in exact stress-pattern match on data unseen during development, and has practical value: First, it helps create a large annotated corpus to train scansion systems. Second, its web interface can help engage a non-specialist public. Third, its current accuracy is helpful for annotating large volumes of poetry and studying metrical trends in Computational Literary Studies use cases.
%U https://aclanthology.org/2026.propor-1.101/
%P 994-1004

Download as File

Markdown (Informal)

[Automatic Metrical Scansion of Galician Poetry: First Results](https://aclanthology.org/2026.propor-1.101/) (Fabo et al., PROPOR 2026)

Automatic Metrical Scansion of Galician Poetry: First Results (Fabo et al., PROPOR 2026)

ACL

Pablo Ruiz Fabo, Pauline Moreau, and Anxo Alonso Pérez. 2026. Automatic Metrical Scansion of Galician Poetry: First Results. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 994–1004, Salvador, Brazil. Association for Computational Linguistics.