The current study investigated how the prior context influences word segmentation of overlapping ambiguous strings when reading Chinese. Chinese readers’ eye movements were recorded as they read sentences containing a three-character overlapping ambiguous string (ABC), where both AB and BC were two-character words. In the informative condition, prior contexts provided syntactic information that supported either the first word segmentation (AB-C) or the second word segmentation (A-BC). The neutral condition did not provide syntactic constraint for word-segmentation. The post-target contexts were syntactically consistent with either the first word (AB-C) or the second word (A-BC) segmentation. The results showed that there were higher skipping rates and shorter first-fixation durations on the overlapping ambiguous string region in the informative AB-C condition than those in the informative A-BC condition, whereas no difference between the AB-C and A-BC segmentation types was found in the neutral condition. Readers still made regressions into the overlapping ambiguous string region in the informative condition. These results imply that readers use sentence context information immediately to segment the overlapping ambiguous words, but they do not use the context information fully. The first word (AB) has processing advantages over the second word (BC), suggesting a left-side word advantage.
Eye movements are one of the most fundamental behaviors during reading. A growing number of Chinese reading studies have used eye-tracking techniques in the last two decades. The accumulated data provide a rich resource that can reflect the complex cognitive mechanisms underlying Chinese reading. This article reports a database of eye-movement measures of words during Chinese sentence reading. The database contains nine eye-movement measures of 8,551 Chinese words obtained from 1,718 participants across 57 Chinese sentence reading experiments. All data were collected in the same experimental environment and from homogenous participants, using the same protocols and parameters. This database enables researchers to test their theoretical or computational hypotheses concerning Chinese reading efficiently using a large number of words. The database can also indicate the processing difficulty of Chinese words during text reading, thus providing a way to control or manipulate the difficulty level of Chinese texts.
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