Context and Complexity in Incremental Sentence Interpretation: An ERP Study on Temporal Quantification
| Autor: | Petra Augurzky, Rolf Ulrich, Vera Hohaus |
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| Rok vydání: | 2020 |
| Předmět: |
Male
Time Factors Computer science Cognitive Neuroscience Experimental and Cognitive Psychology Context (language use) computer.software_genre 050105 experimental psychology Young Adult 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Event-related potential Truth value Humans 0501 psychology and cognitive sciences Evoked Potentials Language Interpretation (logic) business.industry Context effect 05 social sciences Electroencephalography N400 Semantics Female Artificial intelligence Comprehension business computer 030217 neurology & neurosurgery Natural language processing Sentence Adverbial |
| Zdroj: | Cognitive Science. 44 |
| ISSN: | 1551-6709 0364-0213 |
| DOI: | 10.1111/cogs.12913 |
| Popis: | The present event-related potential (ERP) study used picture-sentence verification to investigate the neurolinguistic correlates of the online processing of compositional-semantic information. To this end, we examined context effects on sentences involving temporal adverbial quantification likeJana war jeden Morgen schwimmen an den Arbeitstagen ("Jana went for a swim every morning during the working week"). We tested whether the conceptual complexity associated with quantifying over time intervals leads to delayed predictions regarding the upcoming words in a sentence. The present study replicated previous results relating to quantification over individuals, which are conceptually less complex than time intervals. Analogous to previous studies, false vs. true sentences elicited an N400 whenever contextual cues did not permit a potential revision of a locally assigned truth value. The present results are compatible with an approach under which contextual cues are immediately considered for predicting how a sentence continues. The fact that the contextual complexity did not lead to processing delays indicates that the processing system quickly abstracts away from the conceptual complexity associated with the linguistic input if such an abstraction is possible. |
| Databáze: | OpenAIRE |
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