Literature DB >> 18823210

Reading spaced and unspaced Chinese text: evidence from eye movements.

Xuejun Bai1, Guoli Yan, Simon P Liversedge, Chuanli Zang, Keith Rayner.   

Abstract

Native Chinese readers' eye movements were monitored as they read text that did or did not demark word boundary information. In Experiment 1, sentences had 4 types of spacing: normal unspaced text, text with spaces between words, text with spaces between characters that yielded nonwords, and finally text with spaces between every character. The authors investigated whether the introduction of spaces into unspaced Chinese text facilitates reading and whether the word or, alternatively, the character is a unit of information that is of primary importance in Chinese reading. Global and local measures indicated that sentences with unfamiliar word spaced format were as easy to read as visually familiar unspaced text. Nonword spacing and a space between every character produced longer reading times. In Experiment 2, highlighting was used to create analogous conditions: normal Chinese text, highlighting that marked words, highlighting that yielded nonwords, and highlighting that marked each character. The data from both experiments clearly indicated that words, and not individual characters, are the unit of primary importance in Chinese reading.

Entities:  

Mesh:

Year:  2008        PMID: 18823210      PMCID: PMC2662925          DOI: 10.1037/0096-1523.34.5.1277

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  17 in total

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2.  Saccadic eye movements and cognition.

Authors: 
Journal:  Trends Cogn Sci       Date:  2000-01       Impact factor: 20.229

3.  Interword spacing in Chinese text layout.

Authors:  S H Hsu; K C Huang
Journal:  Percept Mot Skills       Date:  2000-10

Review 4.  The E-Z reader model of eye-movement control in reading: comparisons to other models.

Authors:  Erik D Reichle; Keith Rayner; Alexander Pollatsek
Journal:  Behav Brain Sci       Date:  2003-08       Impact factor: 12.579

5.  Tests of the E-Z Reader model: exploring the interface between cognition and eye-movement control.

Authors:  Alexander Pollatsek; Erik D Reichle; Keith Rayner
Journal:  Cogn Psychol       Date:  2005-11-09       Impact factor: 3.468

6.  The effect of word and character frequency on the eye movements of Chinese readers.

Authors:  Guoli Yan; Hongjie Tian; Xuejun Bai; Keith Rayner
Journal:  Br J Psychol       Date:  2006-05

7.  Unspaced text interferes with both word identification and eye movement control.

Authors:  K Rayner; M H Fischer; A Pollatsek
Journal:  Vision Res       Date:  1998-04       Impact factor: 1.886

8.  Extending the e-z reader model of eye movement control to chinese readers.

Authors:  Keith Rayner; Xingshan Li; Alexander Pollatsek
Journal:  Cogn Sci       Date:  2007-11-12

Review 9.  Toward a model of eye movement control in reading.

Authors:  E D Reichle; A Pollatsek; D L Fisher; K Rayner
Journal:  Psychol Rev       Date:  1998-01       Impact factor: 8.934

10.  Peripheral and cognitive components of eye guidance in filled-space reading.

Authors:  B C Malt; J G Seamon
Journal:  Percept Psychophys       Date:  1978-05
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  23 in total

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6.  Character-complexity effects in Chinese reading and visual search: A comparison and theoretical implications.

Authors:  Lili Yu; Qiaoming Zhang; Caspian Priest; Erik D Reichle; Heather Sheridan
Journal:  Q J Exp Psychol (Hove)       Date:  2017-01-13       Impact factor: 2.143

7.  Word segmentation of overlapping ambiguous strings during Chinese reading.

Authors:  Guojie Ma; Xingshan Li; Keith Rayner
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-01-13       Impact factor: 3.332

8.  Word segmentation by alternating colors facilitates eye guidance in Chinese reading.

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Journal:  Mem Cognit       Date:  2018-07

9.  Reading is fundamentally similar across disparate writing systems: a systematic characterization of how words and characters influence eye movements in Chinese reading.

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Journal:  J Exp Psychol Gen       Date:  2013-07-08

10.  SUBTLEX-CH: Chinese word and character frequencies based on film subtitles.

Authors:  Qing Cai; Marc Brysbaert
Journal:  PLoS One       Date:  2010-06-02       Impact factor: 3.240

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