scholarly journals Online pragmatic interpretations of scalar adjectives are affected by perceived speaker reliability

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245130
Author(s):  
Bethany Gardner ◽  
Sadie Dix ◽  
Rebecca Lawrence ◽  
Cameron Morgan ◽  
Anaclare Sullivan ◽  
...  

Linguistic communication requires understanding of words in relation to their context. Among various aspects of context, one that has received relatively little attention until recently is the speakers themselves. We asked whether comprehenders’ online language comprehension is affected by the perceived reliability with which a speaker formulates pragmatically well-formed utterances. In two eye-tracking experiments, we conceptually replicated and extended a seminal work by Grodner and Sedivy (2011). A between-participant manipulation was used to control reliability with which a speaker follows implicit pragmatic conventions (e.g., using a scalar adjective in accordance with contextual contrast). Experiment 1 replicated Grodner and Sedivy’s finding that contrastive inference in response to scalar adjectives was suspended when both the spoken input and the instructions provided evidence of the speaker’s (un)reliability: For speech from the reliable speaker, comprehenders exhibited the early fixations attributable to a contextually-situated, contrastive interpretation of a scalar adjective. In contrast, for speech from the unreliable speaker, comprehenders did not exhibit such early fixations. Experiment 2 provided novel evidence of the reliability effect in the absence of explicit instructions. In both experiments, the effects emerged in the earliest expected time window given the stimuli sentence structure. The results suggest that real-time interpretations of spoken language are optimized in the context of a speaker identity, characteristics of which are extrapolated across utterances.

Author(s):  
Pirita Pyykkönen ◽  
Juhani Järvikivi

A visual world eye-tracking study investigated the activation and persistence of implicit causality information in spoken language comprehension. We showed that people infer the implicit causality of verbs as soon as they encounter such verbs in discourse, as is predicted by proponents of the immediate focusing account ( Greene & McKoon, 1995 ; Koornneef & Van Berkum, 2006 ; Van Berkum, Koornneef, Otten, & Nieuwland, 2007 ). Interestingly, we observed activation of implicit causality information even before people encountered the causal conjunction. However, while implicit causality information was persistent as the discourse unfolded, it did not have a privileged role as a focusing cue immediately at the ambiguous pronoun when people were resolving its antecedent. Instead, our study indicated that implicit causality does not affect all referents to the same extent, rather it interacts with other cues in the discourse, especially when one of the referents is already prominently in focus.


1995 ◽  
Vol 24 (6) ◽  
pp. 409-436 ◽  
Author(s):  
Kathleen M. Eberhard ◽  
Michael J. Spivey-Knowlton ◽  
Julie C. Sedivy ◽  
Michael K. Tanenhaus

Author(s):  
Pirita Pyykkönen ◽  
Jukka Hyönä ◽  
Roger P. G. van Gompel

This study used the visual world eye-tracking method to investigate activation of general world knowledge related to gender-stereotypical role names in online spoken language comprehension in Finnish. The results showed that listeners activated gender stereotypes elaboratively in story contexts where this information was not needed to build coherence. Furthermore, listeners made additional inferences based on gender stereotypes to revise an already established coherence relation. Both results are consistent with mental models theory (e.g., Garnham, 2001 ). They are harder to explain by the minimalist account ( McKoon & Ratcliff, 1992 ), which suggests that people limit inferences to those needed to establish coherence in discourse.


Author(s):  
Elizabeth Kaplan ◽  
Tatyana Levari ◽  
Jesse Snedeker

Constructing a more precise and deeper understanding of how listeners, and particularly young children, comprehend spoken language is a primary focus for both psycholinguists and educators alike. This chapter highlights how, over the course of the past 20 years, eye tracking has become a crucial and widely used methodology to gain insight into online spoken language comprehension. We address how various eye-tracking paradigms have informed current theories of language comprehension across the processing stream, focusing on lexical discrimination, syntactic analysis, and pragmatic inferences. Additionally, this chapter aims to bridge the gap between psycholinguistic research and educational topics, such as how early linguistic experiences influence later educational outcomes and ways in which eye-tracking methods can provide additional insight into the language processing of children with developmental disorders.


2019 ◽  
pp. 642-659
Author(s):  
Elizabeth Kaplan ◽  
Tatyana Levari ◽  
Jesse Snedeker

Constructing a more precise and deeper understanding of how listeners, and particularly young children, comprehend spoken language is a primary focus for both psycholinguists and educators alike. This chapter highlights how, over the course of the past 20 years, eye tracking has become a crucial and widely used methodology to gain insight into online spoken language comprehension. We address how various eye-tracking paradigms have informed current theories of language comprehension across the processing stream, focusing on lexical discrimination, syntactic analysis, and pragmatic inferences. Additionally, this chapter aims to bridge the gap between psycholinguistic research and educational topics, such as how early linguistic experiences influence later educational outcomes and ways in which eye-tracking methods can provide additional insight into the language processing of children with developmental disorders.


1990 ◽  
Author(s):  
Steve Austin ◽  
Pat Peterson ◽  
Paul Placeway ◽  
Richard Schwartz ◽  
Jeff Vandergrift

2020 ◽  
Author(s):  
Kun Sun

Expectations or predictions about upcoming content play an important role during language comprehension and processing. One important aspect of recent studies of language comprehension and processing concerns the estimation of the upcoming words in a sentence or discourse. Many studies have used eye-tracking data to explore computational and cognitive models for contextual word predictions and word processing. Eye-tracking data has previously been widely explored with a view to investigating the factors that influence word prediction. However, these studies are problematic on several levels, including the stimuli, corpora, statistical tools they applied. Although various computational models have been proposed for simulating contextual word predictions, past studies usually preferred to use a single computational model. The disadvantage of this is that it often cannot give an adequate account of cognitive processing in language comprehension. To avoid these problems, this study draws upon a massive natural and coherent discourse as stimuli in collecting the data on reading time. This study trains two state-of-art computational models (surprisal and semantic (dis)similarity from word vectors by linear discriminative learning (LDL)), measuring knowledge of both the syntagmatic and paradigmatic structure of language. We develop a `dynamic approach' to compute semantic (dis)similarity. It is the first time that these two computational models have been merged. Models are evaluated using advanced statistical methods. Meanwhile, in order to test the efficiency of our approach, one recently developed cosine method of computing semantic (dis)similarity based on word vectors data adopted is used to compare with our `dynamic' approach. The two computational and fixed-effect statistical models can be used to cross-verify the findings, thus ensuring that the result is reliable. All results support that surprisal and semantic similarity are opposed in the prediction of the reading time of words although both can make good predictions. Additionally, our `dynamic' approach performs better than the popular cosine method. The findings of this study are therefore of significance with regard to acquiring a better understanding how humans process words in a real-world context and how they make predictions in language cognition and processing.


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