In an eye-tracking experiment we examined whether Chinese readers were sensitive to information concerning how often a Chinese character appears as a single-character word versus the first character in a two-character word, and whether readers use this information to segment words and adjust the amount of parafoveal processing of subsequent characters during reading. Participants read sentences containing a two-character target word with its first character more or less likely to be a single-character word. The boundary paradigm was used. The boundary appeared between the first character and the second character of the target word, and we manipulated whether readers saw an identity or a pseudocharacter preview of the second character of the target. Linear mixed-effects models revealed reduced preview benefit from the second character when the first character was more likely to be a single-character word. This suggests that Chinese readers use probabilistic combinatorial information about the likelihood of a Chinese character being single-character word or a two-character word online to modulate the extent of parafoveal processing.
CaiQ., & BrysbaertM. (2010). SUBTLEX-CH: Chinese word and character frequencies based on film subtitle. PLoS ONE, 5(6), e10729. doi:10.1371/journal.pone.0010729
2.
Chinese Linguistic Data Consortium. (2003). 现代汉语通用词表 [Chinese lexicon] (CLDC-LAC-2003-001). Beijing, China: Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, and Chinese Academy of Sciences, Institute of Automation.
3.
CuiL., DriegheD., BaiX., YanG., & LiversedgeS. P. (2014). Parafoveal preview benefit in unspaced and spaced Chinese reading. The Quarterly Journal of Experimental Psychology. doi:10.1080/17470218.2014.909858
4.
CuiL., DriegheD., YanG., BaiX., ChiH., & LiversedgeS. P. (2013). Parafoveal processing across different lexical constituents in Chinese reading. The Quarterly Journal of Experimental Psychology, 66, 403–416.
5.
CuiL., YanG., BaiX., HyönäJ., WangS., & LiversedgeS. P. (2013). Processing of compound-word characters in reading Chinese: An eye-movement–contingent display change study. The Quarterly Journal of Experimental Psychology, 66, 527–547.
6.
DriegheD., PollatsekA., JuhaszB. J., & RaynerK. (2010). Parafoveal processing during reading is reduced across a morphological boundary. Cognition, 116, 136–142.
7.
EngbertR., & KlieglR. (2011). Parallel graded attention models of reading. In LiversedgeS. P., GilchristI. D., & EverlingS. (Eds.), The Oxford handbook of eye movements (pp. 787–800). New York: Oxford University Press.
8.
EngbertR., NuthmannA., RichterE., & KlieglR. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112, 777–813.
9.
HoosainR. (1991). Psycholinguistic implications for linguistic relativity: A case study of Chinese. Hillsdale, NJ: Lawrence Erlbaum Associates.
10.
HoosainR. (1992). Psychological reality of the word in Chinese. In ChenH.-C. & TzengO. J. L. (Eds.), Language processing in Chinese (pp. 111–130). Amsterdam, Netherlands: North-Holland.
11.
InhoffA. W., & LiuW. (1998). The perceptual span and oculomotor activity during the reading of Chinese sentences. Journal of Experimental Psychology: Human Perception and Performance, 24, 20–34.
12.
InhoffA. W., RadachR., StarrM., & GreenbergS. (2000). Allocation of visuo-spatial attention and saccade programming during reading. In KennedyA., RadachR., HellerD., & PynteJ. (Eds.), Reading as a perceptual process (pp. 221–246). Oxford, UK: North-Holland/Elsevier.
13.
InhoffA., & WuC. (2005). Eye movements and the identification of spatially ambiguous words during Chinese sentence reading. Memory & Cognition, 33, 1345–1356.
14.
KajiiN., NazirT. A., & OsakaN. (2001). Eye movement control in reading unspaced text: The case of Japanese script. Vision Research, 41, 2503–2510.
15.
KasisopaB., ReillyR. G., LuksaneeyanawinS., & BurnhamD. (2013). Eye movements while reading an unspaced writing system: The case of Thai. Vision Research, 86, 71–80.
16.
LiX., RaynerK., & CaveK. R. (2009). On the segmentation of Chinese words during reading. Cognitive Psychology, 58, 525–552.
17.
LiX., ZangC., LiversedgeS. P., & PollatsekA. (2015). The role of words in Chinese reading. In PollatsekA. & TreimanR. (Eds.), The Oxford Handbook of Reading (pp. 232–244). New York: Oxford University Press.
18.
LiuP., LiW., LinN., & LiX. (2013). Do Chinese readers follow the national standard rules for word segmentation during reading?PLoS ONE, 8(2), e55440.
19.
LiversedgeS. P., & FindlayJ. M. (2000). Saccadic eye movements and cognition. Trends in Cognitive Science, 4, 6–14.
20.
PerfettiC. A., & TanL. H. (1999). The constituency model of Chinese word identification. In WangJ. & InhoffA. W. (Eds.), Reading Chinese script: A cognitive analysis (pp. 115–134). Hillsdale, NJ: Lawrence Erlbaum Associates.
21.
RaynerK. (1975). The perceptual span and peripheral cues in reading. Cognitive Psychology, 7, 65–81.
22.
RaynerK. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422.
23.
RaynerK. (2009). The thirty-fifth Sir Frederick Bartlett Lecture: Eye movements and attention in reading, scene perception, and visual search. The Quarterly Journal of Experimental Psychology, 62, 1457–1506.
24.
R Core Team. (2014). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org/
25.
ReichleE. D. (2011). Serial-attention models of reading. In LiversedgeS. P., GilchristI. D., & EverlingS. (Eds.), The Oxford handbook of eye movements (pp. 767–786). New York: Oxford University Press.
26.
ReichleE. D., RaynerK., & PollatsekA. (2003). The E-Z Reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26, 445–476.
27.
SainioM., HyönäJ., BingushiK., & BertramR. (2007). The role of interword spacing in reading Japanese: An eye movement study. Vision Research, 47, 2575–2584.
28.
TsaiJ. L., LeeC. Y., LinY. C., TzengO. J. L., & HungD. L. (2006). Neighborhood size effects of Chinese words in lexical decision and reading. Language and Linguistics, 7, 659–675.
29.
YanM., KlieglR., RichterE., NuthmannA., & ShuH. (2010). Flexible saccade target selection in Chinese reading. The Quarterly Journal of Experimental Psychology, 63, 705–725.
30.
YanM., ZhouW., ShuH., & KlieglR. (2015). Perceptual span depends on font size during the reading of Chinese sentences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 209–219.
31.
YenM.-H., RadachR., TzengO. J.-L., & TsaiJ.-L. (2012). Usage of statistical cues for word boundary in reading Chinese sentences. Reading and writing, 25, 1007–1029.
32.
ZangC., LiversedgeS. P., BaiX., & YanG. (2011). Eye movements during Chinese reading. In LiversedgeS. P., GilchristI., & EverlingS. (Eds.), The Oxford handbook of eye movements (pp. 961–978). New York: Oxford University Press.
33.
ZhouW., KlieglR., & YanM. (2013). A validation of parafoveal semantic information extraction in reading Chinese. Journal of Research in Reading, 36(S1), S51–S63.
