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Morphosyntactic agreement in English: does it help the listener in noise?

Published online by Cambridge University Press:  03 May 2024

MARCEL SCHLECHTWEG*
Affiliation:
Department of English and American Studies and Cluster of excellence ‘Hearing4all’ Carl von Ossietzky Universität Oldenburg Ammerländer Heerstraße 114–118 26129 Oldenburg Germany marcelschlechtweg@gmail.com
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Abstract

English morphosyntactic agreement, such as determiner–noun agreement in These cabs broke down and noun–verb agreement in The cabs break down, has a few interesting properties that enable us to investigate whether agreement has a psycholinguistic function, that is, whether it helps the listener process linguistic information expressed by a speaker. The present project relies on these properties in a perception experiment, examines the two aforementioned types of English agreement, and aims at analyzing whether and how native English listeners benefit from agreement. The two types of agreement were contrasted with cases without any overtly agreeing elements (e.g. The cabs broke down). Native speakers of English with normal hearing heard short English sentences in quiet and in more or less intense white noise and were requested to indicate whether the second word of the sentence (e.g. These cabs broke down) was a singular or plural noun. Accuracy was entered as the response variable in the binomial logistic regression model. Results showed that overt determiner–noun agreement clearly increased response accuracy, while noun–verb agreement had at best marginal effects. The findings are interpreted against the background of functional aspects of linguistic structures in English, in the context of unfavorable listening conditions in particular.

Information

Type
Research Article
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, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Eight versions of a test sentence

Figure 1

Figure 1. Accuracy for Determiner (error bars, confidence intervals 95 percent, circles represent the means)7

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Figure 2. Accuracy for Number (error bars, confidence intervals 95 percent, circles represent the means)

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Figure 3. Accuracy for SNR (error bars, confidence intervals 95 percent, circles represent the means)

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Table 2. Random effects statistics of the model of Accuracy (without interaction)

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Table 3. Fixed effects statistics of the model of Accuracy (without interaction)

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Figure 4. Accuracy for Determiner*VerbTense (error bars, confidence intervals 95 percent, circles represent the means)

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Figure 5. Accuracy for Determiner*Number (error bars, confidence intervals 95 percent, circles represent the means)

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Figure 6. Accuracy for VerbTense*Number (error bars, confidence intervals 95 percent, circles represent the means)

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Figure 7. Accuracy for Number*SNR (error bars, confidence intervals 95 percent, circles represent the means)

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Table 4. Random effects statistics of the model of Accuracy (with interaction)

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Table 5. Fixed effects statistics of the model of Accuracy (with interaction)