Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ The Mental Lexiconarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
The Mental Lexicon
Article
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
The Mental Lexicon
Article . 2016 . Peer-reviewed
Data sources: Crossref
versions View all 3 versions
addClaim

Agreement attraction in Serbian

Decomposing markedness
Authors: Ristic, Bojana; Molinaro, Nicola; Mancini, Simona;

Agreement attraction in Serbian

Abstract

Asymmetric number attraction effects have been typically explained via a privative markedness account: plural nouns are more marked than singular ones and thus stronger attractors. However, this account does not explain results from tripartite systems, in which a third number value is available, like paucal. Here we tested whether attraction effects can be driven by specific markedness sub-components, such as frequency/naturalness of use, using Serbian, in which participles can agree with masculine subjects in singular, plural and paucal. We first conducted a naturalness judgment task, finding the following naturalness/frequency pattern: singular,plural<paucal. In a subsequent forced-choice task, we presented participants with preambles containing a singular, a plural or a paucal headnoun (the castle[Sg] /two castles[Pauc] /the castles[Pl]) modified by singular/plural/paucal attractors (with the window[Sg] /with two windows[Pauc] /with the windows[Pl]). Three options were provided to complete the sentence (resembles[Sg] /resemble[Pauc] /resemble[Pl] gothic architecture).Both accuracy and reaction times (RTs) were collected. Accuracy data reflected the naturalness/frequency pattern, with paucal being the strongest attractor, and plural and singular attracting equally. However, reaction times showed a difference between singular and plural, suggesting co-influence of both frequency/naturalness and morphological markedness. We emphasize the necessity of re-defining markedness and testing attraction through different markedness sub-components (i.e. frequency/naturalness) to explain attraction cross-linguistically.

Country
Spain
Keywords

markedness, subject-verb agreement, number attraction, Serbian

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
Green
bronze