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Morphosyntactic weaknesses in Developmental Language Disorder: the role of structure and agreement configurations

Published online by Cambridge University Press:  20 January 2020

Vincenzo MOSCATI*
Affiliation:
University of Siena, Italy
Luigi RIZZI
Affiliation:
University of Siena, Italy University of Geneva, Switzerland
Ilenia VOTTARI
Affiliation:
University of Siena, Italy
Anna Maria CHILOSI
Affiliation:
IRCCS Stella Maris, Italy
Renata SALVADORINI
Affiliation:
IRCCS Stella Maris, Italy
Maria Teresa GUASTI
Affiliation:
University of Milano-Bicocca, Italy
*
*Corresponding author. DISPOC – Department of Social, Political and Cognitive Science, Complesso S. Niccolò, Via Roma 56–53100 Siena (Italy). E-mail: moscati.v@gmail.com
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Abstract

Agreement is a morphosyntactic dependency which is sensitive to the hierarchical structure of the clause and is constrained by the structural distance that separates the elements involved in this relation. In this paper we present two experiments, providing new evidence that Italian-speaking children with Developmental Language Disorder (DLD), as well as Typically Developing (TD) children, are sensitive to the same hierarchical and locality factors that characterise agreement in adult grammars. This sensitivity holds even though DLD children show accrued difficulties in more complex agreement configurations. In the first experiment, a forced-choice task was used to establish whether children are more affected in the computation of S-V agreement when an element intervenes hierarchically or linearly in the agreement relation: DLD children are more subject to attraction errors when the attractor intervenes hierarchically, indicating that DLD children discriminate between hierarchical and linear configurations. The second experiment, also conducted through a forced-choice task, shows that the computation of agreement in DLD children is more ‘fragile’ than in TD children (and also in children with a primary impairment in the phonological domain), in that it is more sensitive to the factors of complexity identified in Moscati and Rizzi's (2014) typology of agreement configurations. To capture the agreement pattern found in DLD children, we put forth a novel hypothesis: the Fragile Computation of Agreement Hypothesis. Its main tenet is that DLD children make use of the same grammatical operations employed by their peers, as demonstrated in Experiment 1, but difficulties increase as a function of the complexity of the agreement configuration.

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Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1. Distribution of raw scores (y-axis) at the BVL test (Marini et al.,2014) assessing grammatical comprehension for S-DLD participants and TD as a function of Age (x-axis).

Figure 1

Table 1. Number of participants (N), age (mean and standard deviations) and raw score in the BVL (mean and standard deviation) for Typically Developing children (TD) and Syntactic-DLD children (S-DLD)

Figure 2

Figure 2. Example of the experimental procedure.

Figure 3

Table 2. Experimental conditions

Figure 4

Figure 3. Proportion of correct choices (y-axis) for each participant in the two groups of children (S-DLD and TD) as a function of structural (SI) and linear (LI) intervention.

Figure 5

Figure 4. Proportions of correct choices (y-axis) in the two conditions of intervention (linear and structural) by the two groups of children (Syntactic-DLD and TD, x-axis). Error bars, 95% Confidence Interval.

Figure 6

Figure 5. Proportion of correct choices (y-axis) in the linear condition (left) and in the structural condition (right) as a function of the Number feature (singular or plural) of the intervening nominal element in the two groups of children (S-DLD and TD, x-axis). Error bars, 95% Confidence Interval.

Figure 7

Figure 6. Distribution of raw scores (y-axis) at the BVL test (Marini et al., 2014) assessing grammatical comprehension for S-DLD, nS-DLD, and TD participants as a function of Age (x-axis). Stars indicate the scores obtained by children that were excluded from the S-DLD and the nS-DLD group.

Figure 8

Table 3. Number of participants (N), means (standard deviations) of raw score in the BVL, and age (standard deviations) for each group (Typically developing children, TD, nS-DLD children and S-DLD children)

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Table 4. Experimental conditions in Experiment 2. Underling signals the elements entering in the correct agreement. In brackets, the referent of the pronoun, as shown in the picture set, not pronounced in the target sentence.

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Table 5. Percent of correct choices in each group (SD)

Figure 11

Figure 7. Proportion of correct choices (y-axis) for each agreement configuration (Determiner–Noun, DN; Subject–Verb, SV; Clitic–Past participle, Cl-P) by S-DLD, nS-DLD, and TD children (x-axis). Error bars, 95% Confidence Interval.

Figure 12

Figure 8. Proportion of correct choices (y-axis) for each participant in the three groups of children (S-DLD, nS-DLD, and TD) as a function of the agreement configuration (Determiner–Noun, DN; Subject–Verb, SV; Clitic–Past participle, Cl-P; x-axis).

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Table 1. Fixed effect of Group, Type of Intervention, and Number from best-fitting logistic regression of probability of correct answers

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Table 2. Fixed effect of Type of Intervention and Number for the S-DLD Group from logistic regression of probability of correct answers

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Table 3. Fixed effect of Type of Intervention and Number for the TD Group from logistic regression of probability of correct answers

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Table 4. Fixed effect of Number for the TD Group in the Structural Intervention Condition from logistic regression of probability of correct answers

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Table 5. Fixed effect of Number for the TD Group in the Linear Intervention Condition from logistic regression of probability of correct answers

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Table 1. Fixed effect of group and condition from best-fitting logistic regression of probability of correct answers

Figure 19

Table 2. Fixed effect of group and condition. Same as in Table 1 with Reference category = SV.