The Setting of the Null Subject Parameters across (Non-)Null-Subject Languages

This article explores a learning model for acquiring a variety of null and non-null-subject languages (i.e., consistent, partial, semi and non-null-subject languages). This model builds upon a version of the Null Subject Parameter(s) based on the “Borer-Chomsky Conjecture” (BCC), which assumes that the presence or absence of a D(definiteness)-feature in different functional heads, together with EPP (Extended projection principle) related features, account for the distributions of null subjects in a complex typology of (non-)null-subject languages. This BCC-based learning model assumes the hypothesis that children, in order to learn the pattern of null subjects in their language, need to look at the morphology of functional elements. By reviewing acquisition studies, I examine whether the model is compatible with the data. I argue that there is no evidence of parameter missetting in any of the languages examined, and that children’s early sensitivity to functional elements suggests that the BCC-based learning model is a suitable theory for the acquisition of null subjects.

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Publication Details

Journal
Languages
Published
2024-08-15
DOI
https://doi.org/10.3390/languages9080276
Citations
1
Primary Topic
semigroups and automata theory
Type
article
Field-Weighted Citation Impact
0.36

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article

The Setting of the Null Subject Parameters across (Non-)Null-Subject Languages

Karina Bertolino
1 citations
Languages
semigroups and automata theory
0.36
article

The Setting of the Null Subject Parameters across (Non-)Null-Subject Languages

Karina Bertolino
article en
1 citations

Abstract

This article explores a learning model for acquiring a variety of null and non-null-subject languages (i.e., consistent, partial, semi and non-null-subject languages). This model builds upon a version of the Null Subject Parameter(s) based on the “Borer-Chomsky Conjecture” (BCC), which assumes that the presence or absence of a D(definiteness)-feature in different functional heads, together with EPP (Extended projection principle) related features, account for the distributions of null subjects in a complex typology of (non-)null-subject languages. This BCC-based learning model assumes the hypothesis that children, in order to learn the pattern of null subjects in their language, need to look at the morphology of functional elements. By reviewing acquisition studies, I examine whether the model is compatible with the data. I argue that there is no evidence of parameter missetting in any of the languages examined, and that children’s early sensitivity to functional elements suggests that the BCC-based learning model is a suitable theory for the acquisition of null subjects.

LanguagesVol. 9(8)
Universidade de São Paulo (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo
Quality Education
Openalex Percentile: Top 37%
semigroups and automata theory
0.36
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