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The role of prosody in overt pronoun resolution in a null subject language and in a non-null subject language: A production study

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TLDR
The authors investigate how prosodic cues are used when an overt pronoun is associated with either a subject or an object antecedent in Italian and Swedish, and find that inter-clausal pause and prosodic prominence favored the most unpredictable antecedents of overt pronouns.
Abstract
In this study, we investigate how prosodic cues are used when an overt pronoun is associated with either a subject or an object antecedent in Italian and in Swedish. To address this question, 28 Italian speakers and 28 Swedish speakers completed a production task, by reading out loud globally-ambiguous sentences containing overt pronouns and a control interpretation task, where they selected either a subject or an object antecedent for each pronoun, contained in a globally-ambiguous sentence. We expected that the different preference patterns in antecedent assignment in the two languages would affect the speakers’ use of prosody. In Italian, overt pronouns are usually associated with object antecedents, whereas null pronouns are usually associated with subject antecedents (Position of Antecedent Strategy – “PAS” – Carminati 2002). On the other hand, Swedish overt pronouns leave a measure of ambiguity with respect to antecedent assignment. The results of the control interpretation task confirmed that the Italian speakers conformed to the PAS, but the results for the Swedish speakers unexpectedly indicated a preference for subject antecedents. For the production task, the Italian speakers produced longer inter-clausal pauses and pronouns with a higher degree of prominence with subject rather than object antecedents. In contrast, the Swedish speakers produced longer pauses and pronouns with a higher degree of prominence with object rather than subject antecedents. These results suggest that inter-clausal pause and prosodic prominence favoured the most unpredictable antecedent of overt pronouns (see Goad et al. 2018): the subject in Italian and the object in Swedish.

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First language attrition on prosody in a foreign language environment: A speech production study on anaphora resolution

TL;DR: The authors explored whether first language attrition affects the use of prosodic cues in anaphora resolution and found that the attrition rate was influenced by length of residence in the foreign language environment, the higher the probability of adaptation to the FL prominence patterns.
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Speech Pauses and Pronominal Anaphors

TL;DR: In this paper, the usefulness of speech pauses for determining whether third person singular neuter gender pronouns refer to individual or abstract entities in Danish spoken language has been discussed, and it has been shown that silent and filled pauses precede significantly more often third person pronouns when they refer to abstract entities than when they referred to individual entities.
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R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
Journal ArticleDOI

lmerTest Package: Tests in Linear Mixed Effects Models

TL;DR: The lmerTest package extends the 'lmerMod' class of the lme4 package, by overloading the anova and summary functions by providing p values for tests for fixed effects, and implementing the Satterthwaite's method for approximating degrees of freedom for the t and F tests.
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PsychoPy--Psychophysics software in Python.

TL;DR: A new free suite of software tools designed to make this task easier, using the latest advances in hardware and software, written in the Python interpreted language using entirely free libraries are described.
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