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The Interpretation of Pronouns across Spanish-Speaking Populations

Bibliographic Data

ID5901016
AuthorsSergio Baauw (0000-0003-1959-0939, Utrecht University, corresponding author)
Year2018
Volume3
Issue2
Pages11
Publication date2018-04-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages3020011
OpenAlexW2799762917
LanguageEN
Citations received1
References cited28

In this paper, we will present data from both Spanish acquisition and aphasia on the Pronoun Interpretation Problem (PIP), according to which children allow pronouns to be identified with local c-commanding antecedents. Although it has recently been claimed that the PIP is, to a great extent, an experimental artifact, there are good reasons to believe that there is something "real" in the effect. As with many phenomena from acquisition, researchers have tried to explain this development in terms of "learning", or more concretely, in terms of "parameter setting". Children either must set the right local domain for the application of Principle B or they must set a +/− Principle B parameter. However, considering the PIP as an acquisition problem is problematic since it is difficult to see how children can converge on the target grammar without negative evidence. In this paper, we will defend an alternative approach, according to which the PIP is portrayed as the result of interplay between properties of predicates and different kinds of pronouns on the one hand, and language processing factors on the other

Artifact (error · Domain (mathematical analysis · Grammar · Interpretation (philosophy · Linguistics · Natural language processing · Personal pronoun · Programming language · Pronoun · Set (abstract data type · Computer Science · Language Development and Disorders · Mathematics · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Williams Syndrome Research · Artificial Intelligence

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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