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dc.contributor.author
Clark, Thomas Hikaru
dc.contributor.author
Meister, Clara
dc.contributor.author
Pimentel, Tiago
dc.contributor.author
Hahn, Michael
dc.contributor.author
Cotterell, Ryan
dc.contributor.author
Futrell, Richard
dc.contributor.author
Levy, Roger
dc.date.accessioned
2023-09-06T07:58:47Z
dc.date.available
2023-09-04T06:43:44Z
dc.date.available
2023-09-06T07:58:47Z
dc.date.issued
2023-08-15
dc.identifier.issn
2307-387X
dc.identifier.other
10.1162/tacl_a_00589
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/629487
dc.identifier.doi
10.3929/ethz-b-000629487
dc.description.abstract
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)
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Association for Computational Linguistics
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
A Cross-Linguistic Pressure for Uniform Information Density in Word Order
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Transactions of the Association for Computational Linguistics
ethz.journal.volume
11
en_US
ethz.pages.start
1048
en_US
ethz.pages.end
1065
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
Cambridge, MA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09682 - Cotterell, Ryan / Cotterell, Ryan
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::09682 - Cotterell, Ryan / Cotterell, Ryan
ethz.date.deposited
2023-09-04T06:43:46Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2023-09-06T07:58:48Z
ethz.rosetta.lastUpdated
2024-02-03T03:19:03Z
ethz.rosetta.versionExported
true
ethz.COinS
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