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A Cross-Linguistic Pressure for Uniform Information Density in Word Order

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AH372QJBE" target="_blank" >RIV/00216208:11320/23:H372QJBE - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177472221&doi=10.1162%2ftacl_a_00589&partnerID=40&md5=44b8cfbe1477423aeca13d70995e31f9" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177472221&doi=10.1162%2ftacl_a_00589&partnerID=40&md5=44b8cfbe1477423aeca13d70995e31f9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/tacl_a_00589" target="_blank" >10.1162/tacl_a_00589</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Cross-Linguistic Pressure for Uniform Information Density in Word Order

  • Original language description

    "While natural languages differ widely in both canonical word order and word order flexibility, their word orders still follow shared cross-linguistic statistical patterns, often attributed to functional pressures. In the effort to identify these pressures, prior work has compared real and counterfactual word orders. Yet one functional pressure has been overlooked in such investigations: The uniform information density (UID) hypothesis, which holds that information should be spread evenly throughout an utterance. Here, we ask whether a pressure for UID may have influenced word order patterns cross-linguistically. To this end, we use computational models to test whether real orders lead to greater information uniformity than counterfactual orders. In our empirical study of 10 typologically diverse languages, we find that: (i) among SVO languages, real word orders consistently have greater uniformity than reverse word orders, and (ii) only linguistically implausible counterfactual orders consistently exceed the uniformity of real orders. These findings are compatible with a pressure for information uniformity in the development and usage of natural languages.1. © 2023 Association for Computational Linguistics. Distributed under a CC-BY 4.0 license."

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • 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

  • Name of the periodical

    "Transactions of the Association for Computational Linguistics"

  • ISSN

    2307-387X

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    2023

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    18

  • Pages from-to

    1048-1065

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85177472221