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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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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
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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
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EID of the result in the Scopus database
2-s2.0-85177472221