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Using singular value decomposition to investigate degraded Chinese character recognition: Evidence from eye movements during reading.

Wang, H-C., Schotter, E. R., Angele, B., Yang, J., Simovici, D., Pomplun, M. and Rayner, K., 2013. Using singular value decomposition to investigate degraded Chinese character recognition: Evidence from eye movements during reading. Journal of Research in Reading, 36 (S1), S35-S50.

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DOI: 10.1111/j.1467-9817.2013.01558.x

Abstract

Previous research indicates that removing initial strokes from Chinese characters makes them harder to read than removing final or internal ones. In the present study, we examined the contribution of important components to character configuration via singular value decomposition. The results indicated that when the least important segments, which did not seriously alter the configuration (contour) of the character, were deleted, subjects read as fast as when no segments were deleted. When the most important segments, which are located in the left side of a character and written first, were deleted, reading speed was greatly slowed. These results suggest that singular value decomposition, which has no information about stroke writing order, can identify the most important strokes for Chinese character identification. Furthermore, they also suggest that contour may be correlated with stroke writing order. © 2013 UKLA.

Item Type:Article
ISSN:0141-0423
Group:Faculty of Science & Technology
ID Code:39485
Deposited By: Symplectic RT2
Deposited On:08 Feb 2024 08:25
Last Modified:08 Feb 2024 08:25

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