EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry

Rudolf Rosa; David Mareček; Tomáš Musil; Michal Chudoba; Jakub Landsperský

doi:10.18653/v1/2025.nlp4dh-1.45

EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry

Rudolf Rosa, David Mareček, Tomáš Musil, Michal Chudoba, Jakub Landsperský

Correct Metadata for

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>.

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

This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research.

Anthology ID:: 2025.nlp4dh-1.45
Volume:: Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
Month:: May
Year:: 2025
Address:: Albuquerque, USA
Editors:: Mika Hämäläinen, Emily Öhman, Yuri Bizzoni, So Miyagawa, Khalid Alnajjar
Venues:: NLP4DH | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 524–542
Language:
URL:: https://aclanthology.org/2025.nlp4dh-1.45/
DOI:: 10.18653/v1/2025.nlp4dh-1.45
Bibkey:
Cite (ACL):: Rudolf Rosa, David Mareček, Tomáš Musil, Michal Chudoba, and Jakub Landsperský. 2025. EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry. In Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities, pages 524–542, Albuquerque, USA. Association for Computational Linguistics.
Cite (Informal):: EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry (Rosa et al., NLP4DH 2025)
Copy Citation:
PDF:: https://aclanthology.org/2025.nlp4dh-1.45.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{rosa-etal-2025-edupo,
    title = "{E}du{P}o: Progress and Challenges of Automated Analysis and Generation of {C}zech Poetry",
    author = "Rosa, Rudolf  and
      Mare{\v{c}}ek, David  and
      Musil, Tom{\'a}{\v{s}}  and
      Chudoba, Michal  and
      Landspersk{\'y}, Jakub",
    editor = {H{\"a}m{\"a}l{\"a}inen, Mika  and
      {\"O}hman, Emily  and
      Bizzoni, Yuri  and
      Miyagawa, So  and
      Alnajjar, Khalid},
    booktitle = "Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities",
    month = may,
    year = "2025",
    address = "Albuquerque, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.nlp4dh-1.45/",
    doi = "10.18653/v1/2025.nlp4dh-1.45",
    pages = "524--542",
    ISBN = "979-8-89176-234-3",
    abstract = "This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research."
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rosa-etal-2025-edupo">
    <titleInfo>
        <title>EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Rudolf</namePart>
        <namePart type="family">Rosa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">David</namePart>
        <namePart type="family">Mareček</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tomáš</namePart>
        <namePart type="family">Musil</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Michal</namePart>
        <namePart type="family">Chudoba</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jakub</namePart>
        <namePart type="family">Landsperský</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Mika</namePart>
            <namePart type="family">Hämäläinen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Emily</namePart>
            <namePart type="family">Öhman</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yuri</namePart>
            <namePart type="family">Bizzoni</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">So</namePart>
            <namePart type="family">Miyagawa</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Khalid</namePart>
            <namePart type="family">Alnajjar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Albuquerque, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-234-3</identifier>
    </relatedItem>
    <abstract>This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research.</abstract>
    <identifier type="citekey">rosa-etal-2025-edupo</identifier>
    <identifier type="doi">10.18653/v1/2025.nlp4dh-1.45</identifier>
    <location>
        <url>https://aclanthology.org/2025.nlp4dh-1.45/</url>
    </location>
    <part>
        <date>2025-05</date>
        <extent unit="page">
            <start>524</start>
            <end>542</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry
%A Rosa, Rudolf
%A Mareček, David
%A Musil, Tomáš
%A Chudoba, Michal
%A Landsperský, Jakub
%Y Hämäläinen, Mika
%Y Öhman, Emily
%Y Bizzoni, Yuri
%Y Miyagawa, So
%Y Alnajjar, Khalid
%S Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, USA
%@ 979-8-89176-234-3
%F rosa-etal-2025-edupo
%X This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research.
%R 10.18653/v1/2025.nlp4dh-1.45
%U https://aclanthology.org/2025.nlp4dh-1.45/
%U https://doi.org/10.18653/v1/2025.nlp4dh-1.45
%P 524-542

Download as File

Markdown (Informal)

[EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry](https://aclanthology.org/2025.nlp4dh-1.45/) (Rosa et al., NLP4DH 2025)

EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry (Rosa et al., NLP4DH 2025)

ACL

Rudolf Rosa, David Mareček, Tomáš Musil, Michal Chudoba, and Jakub Landsperský. 2025. EduPo: Progress and Challenges of Automated Analysis and Generation of Czech Poetry. In Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities, pages 524–542, Albuquerque, USA. Association for Computational Linguistics.