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What quantifying word order freedom can tell us about dependency corpora

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AB2TRI3X8" target="_blank" >RIV/00216208:11320/23:B2TRI3X8 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175399928&partnerID=40&md5=23b5939f6fdd48a4c16542ccbf1057ff" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175399928&partnerID=40&md5=23b5939f6fdd48a4c16542ccbf1057ff</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    What quantifying word order freedom can tell us about dependency corpora

  • Original language description

    "Building upon existing work on word order freedom and syntactic annotation, this paper investigates whether we can differentiate between findings that reveal inherent properties of natural languages and their syntax, and features dependent on annotations used in computing the measures. An existing quantifiable and linguistically interpretable measure of word order freedom in language is applied to take a closer look at the robustness of the basic measure (word order entropy) to variations in dependency corpora used in the analysis. Measures are compared at three levels of generality, applied to corpora annotated according to the Universal Dependencies v1 and v2 annotation guidelines, selecting 31 languages for analysis. Preliminary results show that certain measures, such as subject-object relation order freedom, are sensitive to slight changes in annotation guidelines, while simpler measures are more robust, highlighting aspects of these metrics that should be taken into consideration when using dependency corpora for linguistic analysis and generalisation. © 2023 Association for Computational Linguistics."

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    "Depling 2023 - Int. Conf. Dependency Linguist., Depling (GURT/SyntaxFest 2023), Proc."

  • ISBN

    978-195942932-6

  • ISSN

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    54-67

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Cham

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article