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Title:When linearity prevails over hierarchy in syntax
Authors:ID Marušič, Franc, Univerza v Novi Gorici (Author)
ID Šuligoj, Tina, Univerza v Novi Gorici (Author), et al.
Files:.pdf PNAS-2017-Willer_Gold-1712729115.pdf (1,75 MB)
MD5: B08CFD4023EB5558FD24D4C76C53C1CB
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:Hierarchical structure has been cherished as a grammatical universal. We use experimental methods to show where linear order is also a relevant syntactic relation. An identical methodology and design were used across six research sites on South Slavic languages. Experimental results show that in certain configurations, grammatical production can in fact favor linear order over hierarchical structure. However, these findings are limited to coordinate structures and distinct from the kind of production errors found with comparable configurations such as “attraction” errors. The results demonstrate that agreement morphology may be computed in a series of steps, one of which is partly independent from syntactic hierarchy.
Keywords:experimental syntax, syntactic agreement, elicited language production, coordinated, noun phrases, South Slavic languages
Publication version:Version of Record
Year of publishing:2017
Number of pages:6
PID:20.500.12556/RUNG-3530-23ba3bc4-23a5-7de2-df75-ed8649ea60b5 New window
COBISS.SI-ID:4986619 New window
DOI:10.1073/pnas.1712729115 New window
Publication date in RUNG:15.01.2018
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Record is a part of a journal

Title:Proceedings of the National Academy of Sciences
Publisher:National Academy of Sciences
Year of publishing:2017

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:J6-7282
Name:Študija kognitivnih temeljev hierarhije funkcionalnih projekcij v samostalniški zvezi


License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:13.01.2018