Using singular value decomposition to investigate degraded Chinese character recognition: evidence from eye movements during reading.
Using singular value decomposition to investigate degraded Chinese character recognition: evidence from eye movements during reading.
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DOI：
10.1111/j.1467-9817.2013.01558.x
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发表时间：
2013-04
影响因子：
2.7
通讯作者：
Rayner K
中科院分区：
文献类型：
--
作者：
Wang HC;Schotter ER;Angele B;Yang J;Simovici D;Pomplun M;Rayner K
此前的研究表明，与去掉韵母或内部笔画相比，去掉汉字的首笔会使汉字更难阅读。在本研究中，我们通过奇异值分解考察了重要成分对字符构型的贡献。结果表明，当最不重要的片段被删除时，受试者的阅读速度与没有删除片段时一样快，这些片段并没有严重改变字符的形状(轮廓)。当位于字符左侧且最先写入的最重要的片段被删除时，阅读速度大大减慢。这些结果表明，奇异值分解没有笔画书写顺序的信息，可以识别汉字识别中最重要的笔画。此外，他们还表明，轮廓可能与笔画书写顺序有关。
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.
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