CAS Key Laboratory of Behavioral Science.
Department of Psychology and Brain Sciences.
Psychol Rev. 2020 Nov;127(6):1139-1162. doi: 10.1037/rev0000248. Epub 2020 Jul 16.
In the Chinese writing system, there are no interword spaces to mark word boundaries. To understand how Chinese readers conquer this challenge, we constructed an integrated model of word processing and eye-movement control during Chinese reading (CRM). The model contains a word-processing module and an eye-movement control module. The word-processing module perceives new information within the perceptual span around a fixation. The model uses the (McClelland & Rumelhart, 1981) to simulate word processing, but some new assumptions were made to address the word segmentation problem in Chinese reading. All the words supported by characters in the perceptual span are activated and they compete for a winner. When one word wins the competition, it is identified and it is simultaneously segmented from text. The eye-movement control module makes the decision regarding when and where to move the eyes using the activation information of word units and character units provided by the word-processing module. The model estimates how many characters can be processed during a fixation, and then makes a saccade to somewhere beyond this point. The model successfully simulated important findings on the relation between word processing and eye-movement control, how Chinese readers choose saccade targets, how Chinese readers segment words with ambiguous boundaries, and how Chinese readers process information with parafoveal vision during Chinese sentence reading. The current model thus provides insights on how Chinese readers address some important challenges, such as word segmentation and saccade-target selection. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
在中文书写系统中，没有空格来标记单词的边界。为了了解中文读者如何克服这一挑战，我们构建了一个中文阅读中单词处理和眼动控制的综合模型（CRM）。该模型包含一个单词处理模块和一个眼动控制模块。单词处理模块在注视点周围的感知范围内感知新信息。该模型使用（McClelland & Rumelhart, 1981）来模拟单词处理，但做出了一些新的假设来解决中文阅读中的单词分割问题。在感知范围内由字符支持的所有单词都会被激活，并相互竞争成为胜者。当一个单词获胜时，它被识别出来，并同时从文本中分割出来。眼动控制模块使用单词处理模块提供的单词单元和字符单元的激活信息来决定何时何地移动眼睛。该模型估计在一次注视中可以处理多少个字符，然后进行超越这个点的眼跳。该模型成功地模拟了关于单词处理和眼动控制之间关系的重要发现，中文读者如何选择眼跳目标，中文读者如何分割有歧义边界的单词，以及中文读者如何在中文句子阅读中使用视距外视觉处理信息。因此，当前的模型为中文读者如何解决一些重要挑战（如单词分割和眼跳目标选择）提供了一些见解。（PsycInfo 数据库记录（c）2020 APA，保留所有权利）。
