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俄语中的字母处理:正字法重要吗?

Letter processing in Russian: Does orthography matter?

机构信息

Institute for Cognitive Studies, Saint Petersburg State University, Russia.

Department of Languages, University of Helsinki, Finland.

出版信息

Acta Psychol (Amst). 2021 Jul;218:103355. doi: 10.1016/j.actpsy.2021.103355. Epub 2021 Jun 16.

Abstract

Prior research has suggested that the identification and encoding of letter positions within letter strings might be influenced by orthography. Letters in transparent languages (e.g., Greek) with regular grapheme-to-phoneme correspondences are processed sequentially, whereas letters in deep languages (e.g., English) are processed in parallel. In three experiments, we used a visual search paradigm to test this hypothesis on Russian-a relatively transparent language. In Experiment 1, we measured the identification speed of Cyrillic letters at each position in the five-element real words or pronounceable pseudowords. In Experiment 2, the performance was compared to random letter strings, and in Experiment 3, to non-linguistic symbol strings. Our results reveal a search pattern similar to English, excluding strictly serial letter computation, which is inconsistent with the orthography hypothesis. Moreover, we showed that the lexical status and the nature of the string (linguistic/non-linguistic) affect response times for Russian and therefore must be accounted for in models of visual word recognition.

摘要

先前的研究表明,在字母串中识别和编码字母位置可能受到正字法的影响。具有规则的字母-音素对应关系的透明语言(如希腊语)中的字母是按顺序处理的,而深度语言(如英语)中的字母是并行处理的。在三个实验中,我们使用视觉搜索范式来检验这个假设,实验对象是俄语——一种相对透明的语言。在实验 1 中,我们测量了每个位置的西里尔字母在五个元素的真实单词或可发音的假词中的识别速度。在实验 2 中,将表现与随机字母串进行比较,在实验 3 中,与非语言符号串进行比较。我们的结果揭示了一种类似于英语的搜索模式,排除了严格的串行字母计算,这与正字法假设不一致。此外,我们表明,词汇状态和字符串的性质(语言/非语言)会影响俄语的反应时间,因此在视觉单词识别模型中必须考虑到这些因素。

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