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手语词识别的影响因素探讨 ——手语词的两个网络系统及其交互作用
(1广州大学教育学院, 广州 510006)
(2中国人民大学心理学系, 北京 100872) (3广州大学市政技术学院, 广州 510800)
Chinese Sign Language Lexical Recognition: Two Network Systems and Interaction Effect Among Sign Language Words
CHEN Suiqing1; ZHANG Jijia2; LI Yanxia3; ZHANG Huixia3
(1 School of Education, Guangzhou University, Guangzhou 510006, China) (2 Department of Psychology, Renmin University of China, Beijing 100872, China) (3 College of Municipal Works and Construction, Guangzhou University, Guangzhou 510800, China)
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采用真假词判断任务考察影响手语词识别的因素, 探讨词汇网络系统和语义网络系统的变量在手语词识别中的作用及其交互作用。结果表明, 在手语词识别中, 既存在着熟悉性效应、复杂度效应、象似性效应和具体性效应, 又存在着熟悉性与象似性、具体性的交互作用。这表明, 手语词识别既涉及词汇网络系统的变量, 又涉及语义网络系统的变量, 既包含着由“形”至义的数据驱动加工, 又包含着由义至“形”的概念驱动加工。手语词识别与书面语词识别具有共性。研究还表明, 形象性影响聋人对手语词的识别。

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关键词 手语词汇识别词汇网络语义网络    

Sign language, as the first and natural acquisition language for deaf, is a language form that transfer information and interact thought by gesture, face expression and posture etc. Similar to oral language and written language, sign language also has a special grammar system representing sophisticated thought, subtle emotion and other abstract information. To date, most theories of word recognition have been proposed largely based on studies of spoken language, even though few studies have examined sign language lexical recognition. The comparison of signed and written language processing is necessary for reflecting general properties of the language recognition system. Based on the “Lexical and Semantic Network System” theory, effects of four variables including familiarity, complexity, iconicity, concreteness were investigated in Chinese Sign Language lexical recognition. Familiarity and complexity belonged to variables of lexical network system, iconicity and concreteness belonged to variables of semantic network system. Therefore, this paper not only focused on specific factors in sign language word recognition, but also the interaction between these factors in the two network system. The effects of familiarity, complexity, iconicity and concreteness of the Chinese Sign Language were studied by sign lexical decision mission with 3 experiments. In experiment 1, the variable of lexical familiarity was crossed with complexity; in experiment 2, the variable of lexical familiarity was crossed with iconicity; in experiment 3, the variable of lexical familiarity was crossed with concreteness. Participants were instructed to press the button for indicating whether the probe appearing on the screen was a legitimate sign or not. The non-signs were not the real Chinese Sign Language, but resembled real signs. All signs and non-signs were recorded by a digital camcorder. Signs were edited into video movie files and each individual sign clip was normalized in duration to 2500ms. The ANOVA on the reaction time showed a main effect of sign familiarity in three experiments: signs with higher familiarity were responded faster than the ones with lower familiarity. The complexity effect was significant, suggesting that signs from a low complexity were responded faster than signs from a high complexity. The main effects of both iconicity and concreteness showed that high iconicity and concreteness were responded faster than low ones. In addition, the interaction effect between lexical familiarity and iconicity was significant. High familiarity signs with a high iconicity were responded faster than those with a low iconicity. Moreover, no differences of concreteness were observed for high familiarity signs, but a facilitate effect of concreteness was significant for low familiarity signs. The results indicated that recognition of Chinese Sign Language related to two network systems: lexical network and semantic network. In summary, in this sign lexical decision mission experiment, the conclusions were as follows: (1) Besides the effects of familiarity, complexity, iconicity and concreteness in sign language lexical cognition, the interaction effect among them was also found; (2) Sign language lexical access related to lexical and semantic network system. In general, we proposed two-direction-mapping model in discussing sign language processing, in which both form- to-meaning and meaning-to-form directions were included.

Key words Chinese Sign Language    lexical recognition    lexical network    semantic network.
收稿日期: 2014-07-31      出版日期: 2015-07-25

全国教育科学“十二五”规划2014年度教育部青年课题(项目编号:EBA140362); 广东省哲学社会科学“十二五”规划2014年度项目(项目编号:GD14YXL01); 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目成果(项目编号:14XNLQ05)。

通讯作者: 张积家, E-mail:   
陈穗清;张积家;李艳霞;张惠霞. 手语词识别的影响因素探讨 ——手语词的两个网络系统及其交互作用[J]. 心理学报, 10.3724/SP.J.1041.2015.00878.
CHEN Suiqing; ZHANG Jijia; LI Yanxia; ZHANG Huixia. Chinese Sign Language Lexical Recognition: Two Network Systems and Interaction Effect Among Sign Language Words. Acta Psychologica Sinica, 2015, 47(7): 878-889.
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