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A self-paced reading study of context effects in the processing of aspectual verbs in Mandarin

Published online by Cambridge University Press:  11 December 2023

Ye Ma*
Affiliation:
Department of Linguistics, Languages, and Cultures, Michigan State University, East Lansing, MI, USA
Brian Buccola
Affiliation:
Department of Linguistics, Languages, and Cultures, Michigan State University, East Lansing, MI, USA
Shannon Cousins
Affiliation:
Department of Linguistics, Languages, and Cultures, Michigan State University, East Lansing, MI, USA
Alan Beretta
Affiliation:
Department of Linguistics, Languages, and Cultures, Michigan State University, East Lansing, MI, USA
*
Corresponding author: Ye Ma; Email: maye2@msu.edu
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Abstract

Research in the past few years has investigated the semantic complexity of expressions with aspectual verbs followed by entity-denoting complements such as finish the book that led to processing costs cross-linguistically. The Structured Individual Hypothesis (SIH) proposes that aspectual verbs lexically encode a function whose value (dimension) must be resolved. This ambiguity resolution is hypothesized to occur at the verb’s complement, where a specific dimension is selected based on context (Piñango & Deo, 2016). In light of the critical role of the context in SIH, recent research (Lai et al., 2023; Lai & Piñango, 2019) has investigated how the interpretations of sentences with aspectual verbs were affected by biased contexts in an offline sentence acceptability judgment study and an online eye-tracking study. However, results of the two studies showed that biased contexts disambiguated the interpretations of aspectual verb expressions offline while processing costs in biased contexts were not found to attenuate costs in real time. The reason why conflicting results were found offline versus online and the timecourse of context effects remain unclear, but in our view it may be due to pragmatic contexts, i.e., descriptions of the utterance context used to infer the salient reading of the utterance. We used grammatical contexts – two classes of adverbs – in a self-paced reading study to examine context effects for sentences with aspectual verbs in Mandarin. We found that biased grammatical contexts not only affected the interpretations in the offline task, but crucially facilitated processing in the online experiment as well. We conclude that biased grammatical contexts predetermine the interpretations of aspectual verb expressions immediately in real time.

Information

Type
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), 2023. Published by Cambridge University Press
Figure 0

Table 1. Conditions: adverb type * verb type

Figure 1

Table 2. Sample stimuli in Mandarin

Figure 2

Table 3. Model selection results suggested that Model 3 with by-subject and by-item random intercepts was the best-fitting model. Four models with condition as the fixed effect and different random-effects structure were compared for data of each choice. To determine the best model, the Akaike Information Criterion (AIC) value and likelihood ratio tests were used to estimate the goodness-of-fit. An example of model selection results for choice of ‘both’ readings is presented below

Figure 3

Figure 1. Results of the sentence interpretation task (**p < .01, ***p < .001). Error bars indicate standard error.

Figure 4

Table 4. Experimental paradigm and regions of interest (ROIs)

Figure 5

Table 5. Reading Time (ms) in each ROI. C, MA-A, and NoAdv-C stand for control conditions, mental-attitude adverb aspectual condition and no adverb-control condition

Figure 6

Figure 2. Reading times in the Post 2 region (*** p < .001). Error bars indicate standard error.

Figure 7

Figure 3. Results of the sentence interpretation post-test (***p < .001). Error bars indicate standard error.