A multifactorial approach to crosslinguistic constituent orderings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AX8DGCDTR" target="_blank" >RIV/00216208:11320/23:X8DGCDTR - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140583184&doi=10.1515%2flingvan-2020-0139&partnerID=40&md5=5d4d6d537672d50fe49fdf40dc3afd9c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140583184&doi=10.1515%2flingvan-2020-0139&partnerID=40&md5=5d4d6d537672d50fe49fdf40dc3afd9c</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/lingvan-2020-0139" target="_blank" >10.1515/lingvan-2020-0139</a>
Alternative languages
Result language
angličtina
Original language name
A multifactorial approach to crosslinguistic constituent orderings
Original language description
"Previous work has proposed that crosslinguistic ordering preferences are driven by several competing and cooperating factors simultaneously. Nevertheless, this proposal still lacks proper quantitative support, as most prior studies have focused on: (1) a limited set of factors and languages; (2) syntactic constructions that are not directly comparable or do not necessarily have flexible orderings. This study aims to bridge this gap, using the adpositional phrase (PP) typology as the test case. We focused on verb phrases in which the head verb has two PP dependents occurring on the same side (He talked [PP 1 with friends] [PP 2 for a long time]), the order of which allows flexibility in at least some contexts. With multilingual corpora for 20 languages and computational techniques, we investigated the roles of four theoretically motivated constraints: dependency length, semantic closeness, lexical frequency and contextual predictability, the latter three of which have rarely been addressed systematically in a crosslinguistic context. Overall, dependency length is the strongest predictor and it is more effective in postverbal than preverbal domains. In certain preverbal cases where dependency length is not effective, semantic closeness and lexical frequency play a weak role. By contrast, contextual predictability does not seem to have a consistent effect across languages. © 2022 Walter de Gruyter GmbH, Berlin/Boston."
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
"Linguistics Vanguard"
ISSN
2199-174X
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
1 s
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
107-120
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85140583184