ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2014, Vol. 22 ›› Issue (1): 1-8.doi: 10.3724/SP.J.1042.2014.00001

• 主编特邀 •    下一篇

词边界信息在中文词汇学习与识别中的作用：眼动研究的证据

白学军;张慢慢;臧传丽;李馨;陈璐;闫国利   

  1. 天津师范大学心理与行为研究院, 天津 300074
  • 收稿日期:2013-12-05 出版日期:2014-01-15 发布日期:2014-01-15
  • 通讯作者: 张慢慢;臧传丽
  • 基金资助:

    全国教育科学规划“十一五”教育部重点项目(DBA090290)、国家自然科学基金项目(31100729)、天津师范大学校博士基金项目(52WW1013, 52WW1117)、天津市教育科学“十二五”规划课题(汉语阅读的认知机制与儿童快乐阅读能力培养, BE4139)和天津市哲学社会科学研究规划项目(TJJX12-039)资助。

The Effect of Word Boundary Information on Chinese Word Acquisition and Recognition: Evidence from Eye Movements

BAI Xuejun;ZHANG Manman;ZANG Chuanli;LI Xin;CHEN Lu;YAN Guoli   

  1. Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300074, China
  • Received:2013-12-05 Online:2014-01-15 Published:2014-01-15
  • Contact: ZHANG Manman;ZANG Chuanli

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摘要：

空格作为英语等大多数拼音文字阅读中的词边界信息, 能帮助读者成功地从文本的一连串的字母中切分出词, 促进了词汇的习得和识别。然而在中文里没有明确词边界信息, 那么在提供词边界信息(即加入空格)能否促进中文词汇识别或帮助读者学习新词？本文将从空格对成人、儿童和留学生在阅读中眼动控制的影响来回顾和总结词边界信息在中文词汇识别与学习的作用。在此基础上, 提出对建立汉字与词汇识别模型、眼动控制模型以及对指导汉语教学工作的启示。

关键词: 词切分, 词空格, 词汇识别, 词汇学习

Abstract:

Word spacing is an important indicator of word boundary in most alphabetic writing system such as English, as it can not only help readers to successfully segment each word from successive character strings in text but also help readers to word acquisition and recognition. However, there is no clear word boundary information in Chinese reading, it is interesting to investigate whether it can facilitate word recognition or help readers to learn new word when providing word boundary information (i.e. word space) in Chinese reading. We reviewed the effect of word spacing on eye movement control during Chinese reading in adults, children and second language learners of Chinese. Based on the current findings reviewed in this paper, we provided some implications for constructing models of character and word recognition and eye movement control in Chinese reading, as well as prompting Chinese teaching proficiency.

Key words: word segmentation, inter-word space, word acquisition, word recognition