Prediction at the intersection of sentence context and word form: Evidence from eye-movements and self-paced reading.
Autor: | Amenta S; University of Trento, Trento, Italy.; University of Milan-Bicocca, Milan, Italy., Hasenäcker J; International School for Advanced Studies (SISSA), Trieste, Italy. janahasenaecker@gmail.com.; University of Erfurt, Erfurt, Germany. janahasenaecker@gmail.com., Crepaldi D; International School for Advanced Studies (SISSA), Trieste, Italy., Marelli M; University of Milan-Bicocca, Milan, Italy. |
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Jazyk: | angličtina |
Zdroj: | Psychonomic bulletin & review [Psychon Bull Rev] 2023 Jun; Vol. 30 (3), pp. 1081-1092. Date of Electronic Publication: 2022 Dec 12. |
DOI: | 10.3758/s13423-022-02223-9 |
Abstrakt: | A key issue in language processing is how we recognize and understand words in sentences. Research on sentence reading indicates that the time we need to read a word depends on how (un)expected it is. Research on single word recognition shows that each word also has its own recognition dynamics based on the relation between its orthographic form and its meaning. It is not clear, however, how these sentence-level and word-level dynamics interact. In the present study, we examine the joint impact of these sources of information during sentence reading. We analyze existing eye-tracking and self-paced reading data (Frank et al., 2013, Behavior Research Methods, 45[4], 1182-1190) to investigate the interplay of sentence-level prediction (operationalized as Surprisal) and word Orthography-Semantics Consistency in activating word meaning in sentence processing. Results indicate that both Surprisal and Orthography-Semantics Consistency exert an influence on several reading measures. The shape of the observed interaction differs, but the results give compelling indication for a general trade-off between expectations based on sentence context and cues to meaning from word orthography. (© 2022. The Author(s).) |
Databáze: | MEDLINE |
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