Lin, N., Angele, B., Hua, H., Shen, W., Zhou, J. and Liu, X., 2018. Skipping of Chinese characters does not rely on word-based processing. Attention, Perception, and Psychophysics, 80 (2), 600-607.
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DOI: 10.3758/s13414-017-1444-0
Abstract
© 2017 The Psychonomic Society, Inc. Previous eye-movement studies have indicated that people tend to skip extremely high-frequency words in sentence reading, such as “the” in English and “的/de” in Chinese. Two alternative hypotheses have been proposed to explain how this frequent skipping happens in Chinese reading: one assumes that skipping happens when the preview has been fully identified at the word level (word-based skipping); the other assumes that skipping happens whenever the preview character is easy to identify regardless of whether lexical processing has been completed or not (character-based skipping). Using the gaze-contingent display change paradigm, we examined the two hypotheses by substituting the preview of the third character of a four-character Chinese word with the high-frequency Chinese character “的/de”, which should disrupt the ongoing word-level processing. The character-based skipping hypothesis predicts that this manipulation will enhance the skipping probability of the target character (i.e., the third character of the target word), because the character “的/de” has much higher character frequency than the original character. The word-based skipping hypothesis instead predicts a reduction of the skipping probability of the target character because the presence of the character “的/de” is lexically infelicitous at word level. The results supported the character-based skipping hypothesis, indicating that in Chinese reading the decision of skipping a character can be made before integrating it into a word.
Item Type: | Article |
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ISSN: | 1943-3921 |
Additional Information: | This research was supported by grants from the Natural Science Foundation of China (31571125, 31300842), a grant from British Academy (International Partnership and Mobility Scheme PM150023), and the Beijing Advanced Innovation Center for Imaging Technology (BAICIT-2016018) |
Group: | Faculty of Science & Technology |
ID Code: | 30083 |
Deposited By: | Symplectic RT2 |
Deposited On: | 05 Dec 2017 09:35 |
Last Modified: | 14 Mar 2022 14:08 |
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