Prediction in language comprehension beyond specific words: An ERP study on sentence comprehension in Polish

Szewczyk, Jakub; Schriefers, Herbert

doi:10.1016/j.jml.2012.12.002

Cited by 97 publications

(118 citation statements)

References 49 publications

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“…Moreover, this finding suggests that people not just passively process the incoming sensory signal, but instead actively anticipate and predict what input they will receive. This shows that predictions in language processing are not limited to lexical-semantic predictions (Lau, Holcomb, & Kuperberg, 2013;Mani & Huettig, 2012;Otten, Nieuwland, & Van Berkum, 2007b;Szewczyk & Schriefers, 2013;Van Petten & Luka, 2012) but also include predictions about the specific social context in which the linguistic utterance should be interpreted. This finding generates interesting new ways to think about how people understand and interpret language.…”

Section: The Effect Of Laughing Others On Insult Perceptionmentioning

confidence: 96%

No laughing matter: How the presence of laughing witnesses changes the perception of insults.

Otten

Mann

Berkum

et al. 2016

Social Neuroscience

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Section: The Effect Of Laughing Others On Insult Perceptionmentioning

confidence: 96%

No laughing matter: How the presence of laughing witnesses changes the perception of insults.

Otten

Mann

Berkum

et al. 2016

Social Neuroscience

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“…For example, listeners are more likely to direct their eye-gaze to a picture of an edible object (e.g., a cake) when they hear the beginning of an utterance like 'The boy will eat…' compared to a neutral utterance such as 'The boy will move…' (Altmann & Kamide, 1999). Further, much evidence has suggested that comprehenders compute rich expectations about upcoming inputs at multiple levels of representation (syntactic: Ilkin & Sturt, 2011;Lau, Stroud, Plesch, & Phillips, 2006;Levy, Fedorenko, Breen, & Gibson, 2012;Omaki et al, 2015;Staub & Clifton, 2006;Wicha et al, 2004;Van Berkum et al, 2005;Yoshida, Dickey, & Sturt, 2013;lexico-semantic: Federmeier & Kutas, 1999;Kutas & Hillyard, 1984;Otten & Van Berkum, 2008;Szewczyk & Schriefers, 2013; phonological and orthographic: Delong et al, 2005;Dikker, Rabagliati, Farmer, & Pylkkanen, 2010;Dikker, Rabagliati, & Pylkkänen, 2009;Farmer, Yan, Bicknell, & Tanenhaus, 2015;Kim & Lai, 2012;Laszlo & Federmeier, 2009). Here, we operationally define 'prediction' as the pre-activation of stored representations before the bottom-up input is encountered, and we will make no a priori assumptions regarding the nature of the mechanisms involved (e.g., whether they are automatic or controlled).…”

Section: Prediction In Language Comprehensionmentioning

confidence: 99%

Wait a second! delayed impact of argument roles on on-line verb prediction

Chow

Lau

Wang

et al. 2018

Language, Cognition and Neuroscience

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Comprehenders can use rich contextual information to anticipate upcoming input on the fly, but recent findings suggest that salient information about argument roles may not impact verb prediction. We took advantage of the word order properties of Mandarin Chinese to examine the time course with which argument role information impacts verb prediction. We isolated the contribution of argument role information by manipulating the order of pre-verbal noun phrase arguments while holding lexical information constant, and we examined its effects on accessing the verb in long-term semantic memory by measuring the amplitude of the N400 component.Experiment 1 showed when the verb appeared immediately after its arguments, even strongly constraining argument role information failed to modulate the N400 response to the verb. An N400 effect emerged in Experiment 2 when the verb appeared at a greater delay. Experiment 3 corroborated the contrast between the first two experiments through a within-participants manipulation of the time interval between the arguments and the verb, by varying the position of an adverbial phrase. These results suggest time is a key factor governing how diverse contextual information contributes to predictions. Here argument role information is shown to impact verb prediction, but its effect is not immediate.3

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“…Similar work has examined the impact of gender or animacy morphemes on a neutral prenominal element that match or mismatch a predicted noun (e.g. in Spanish When the king died the prince could finally wear the-masc/fem crownfem, from Wicha et al [29]); some of these studies have similarly shown N400 effects on the prenominal element [30] although in other cases the prenominal predictability effect has a different polarity or distribution [10,29,31]. In a different kind of design, Lau et al [32] show that the same semantic relation between a prime and a target (e.g.…”

Section: The N400 Responsementioning

confidence: 99%

A Direct Comparison of N400 Effects of Predictability and Incongruity in Adjective-Noun Combination

et al. 2016

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*Previous work has shown that the N400 ERP component is elicited by all words, whether presented in isolation or in structured contexts, and that its amplitude is modulated by semantic association and contextual predictability. What is less clear is the extent to which the N400 response is modulated by semantic incongruity when predictability is held constant. In the current study we examine N400 modulation associated with independent manipulations of predictability and congruity in an adjective-noun paradigm that allows us to precisely control predictability through corpus counts. Our results demonstrate small N400 effects of semantic congruity (yellow bag vs. innocent bag), and much more robust N400 effects of predictability (runny nose vs. dainty nose) under the same conditions. These data argue against unitary N400 theories according to which N400 effects of both predictability and incongruity reflect a common process such as degree of integration difficulty, as large N400 effects of predictability were observed in the absence of large N400 effects of incongruity. However, the data are consistent with some versions of unitary 'facilitated access' N400 theories, as well as multiple-generator accounts according to which the N400 can be independently modulated by facilitated conceptual/lexical access (as with predictability) and integration difficulty (as with incongruity, perhaps to a greater extent in full sentential contexts).

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Prediction in language comprehension beyond specific words: An ERP study on sentence comprehension in Polish

Cited by 97 publications

References 49 publications

No laughing matter: How the presence of laughing witnesses changes the perception of insults.

No laughing matter: How the presence of laughing witnesses changes the perception of insults.

Wait a second! delayed impact of argument roles on on-line verb prediction

A Direct Comparison of N400 Effects of Predictability and Incongruity in Adjective-Noun Combination

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