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Examining the role of prediction in language processing: Evidence from Korean topicalized object sentences

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언어과학회 (The Linguistic Science Society)|2023.12|언어과학연구 (The Journal of Linguistics Science)|제107호|pp. 349-369

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참고문헌

키워드

Koreansentence processingpredictionartificial grammar learningimplicit statistical learning
주제분류언어학

초록

Along with the importance of prediction in language processing, this study examines the effect of predictive ability, as measured by an artificial grammar learning task (AGL), on the processing of Korean topicalized object sentences. A total of 102 Korean native speakers completed a predictive AGL task and a self-paced Korean reading task. Both tasks’ stimuli involve rules about the relationships of nonadjacent elements. The results show that better ability to predict a nonadjacent relation in the AGL task correlates with better comprehension of Korean topicalized object sentences, which include a nonadjacent relationship in the form of a long-distance dependency between the topicalized object and its gap. This finding suggests the importance of prediction in language processing and provides empirical evidence for the argument that different degrees of predictive ability can be considered an individual difference affecting language performance.

Abstract

Along with the importance of prediction in language processing, this study examines the effect of predictive ability, as measured by an artificial grammar learning task (AGL), on the processing of Korean topicalized object sentences. A total of 102 Korean native speakers completed a predictive AGL task and a self-paced Korean reading task. Both tasks’ stimuli involve rules about the relationships of nonadjacent elements. The results show that better ability to predict a nonadjacent relation in the AGL task correlates with better comprehension of Korean topicalized object sentences, which include a nonadjacent relationship in the form of a long-distance dependency between the topicalized object and its gap. This finding suggests the importance of prediction in language processing and provides empirical evidence for the argument that different degrees of predictive ability can be considered an individual difference affecting language performance.

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