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Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F24%3AA250385U" target="_blank" >RIV/61988987:17250/24:A250385U - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/25:YDKMBR5R

  • Result on the web

    <a href="https://www.tandfonline.com/doi/full/10.1080/09296174.2024.2370459" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/09296174.2024.2370459</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/09296174.2024.2370459" target="_blank" >10.1080/09296174.2024.2370459</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres

  • Original language description

    This study investigates the syntactic complexity of various text-types in the Czech language by analysing the mean dependency distance (MDD), a measure that quantifies the average distance between syntactic heads and their dependents within a sentence, and average sentence length (ASL). Using data from the SYN2020 corpus, a large and balanced collection of contemporary written Czech, we calculate the MDD and ASL for different text-types. Our findings reveal distinct patterns in the MDD and ASL values across genres, suggesting that syntactic complexity varies among different types of texts. We observe a clear distinction between fiction and non-fiction genres, with fiction exhibiting lower MDD and ASL values, indicating a more compact syntactic structure. Non-fiction genres, particularly scientific literature, display higher MDD and ASL values, reflecting more complex syntactic constructions. Journalistic texts, such as newspapers and magazines, fall between fiction and non-fiction in terms of MDD and ASL values. These results demonstrate the potential of MDD and ASL as quantitative measures for characterizing and differentiating text-types based on their syntactic complexity. Furthermore, our analysis contributes to a deeper understanding of the syntactic variations across diverse genres in the Czech language.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

    <a href="/en/project/GA22-20632S" target="_blank" >GA22-20632S: Quantitative Syntactic Stylistics of Contemporary Written Czech</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Quantitative Linguistics

  • ISSN

    0929-6174

  • e-ISSN

    1744-5035

  • Volume of the periodical

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

    260-273

  • UT code for WoS article

    001259286900001

  • EID of the result in the Scopus database

    2-s2.0-85197575977