Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2025
License: CC BY NC
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY NC
Data sources: Datacite
versions View all 2 versions
addClaim

Hunpoem_meter_analyzer: A Tool for Detecting Meter in Hungarian Poetry

Authors: Horváth, Péter;

Hunpoem_meter_analyzer: A Tool for Detecting Meter in Hungarian Poetry

Abstract

The Python program Hunpoem_meter_analyzer recognizes both Hungarian quantitative and qualitative meters. It categorizes poems as dactylic, anapestic, trochaic, or iambic, and provides a regularity score between 0 and 1, indicating how consistently the poem's rhythm follows the recognized abstract quantitative meter. In addition, the program identifies qualitative meters that have an "aaaa..." or "abab..." structure. The input to the program is the level3_without_meter TEI XML files from the ELTE Poetry Corpus, which contain syllable length annotations for each line. To use the program, see the documentation in the Python file. The file evaluation_based_on_Szepes_Szerdahelyi.tsv contains evaluation data based on the example poems from the book Verstan by Erika Szepes and István Szerdahelyi, published in 1981.

Related Organizations
Keywords

accuracy evaluation, automatic meter detection, corpus linguistics, digital humanities, tool development, Hungarian poetry

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities