Similarity neighborhoods of spoken two-syllable words: retroactive effects on multiple activation.
Similarity neighborhoods of spoken two-syllable words: retroactive effects on multiple activation.
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DOI：
10.1121/1.2027912
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发表时间：
1990-05
期刊：
影响因子：
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通讯作者：
Michael S. Cluff;P. Luce
中科院分区：
文献类型：
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作者：
Michael S. Cluff;P. Luce
本研究探讨了双音节口语词的识别和听觉词识别过程处理模糊刺激信息的方法。本文的实验研究了双音节词中单个音节对彼此识别的影响。具体而言，知觉识别的两个单音节词（spondees）组成的双音节词进行了检查。根据音节的邻域特征，spondee中的单个音节被描述为“容易”或“困难”;容易音节被定义为低频词稀疏邻域中的高频词，而困难音节被定义为高密度高频邻域中的低频词。在实验1中，刺激是通过将spondee的组成音节的录音拼接在一起来创建的，从而等同于音节重音。额外的实验测试的知觉识别自然产生的spondees，拼接非字，单音节。在所有实验中，邻域结构对识别有很强的影响。此外，识别性能的赞助人与硬容易的音节模式高于赞助人与一个简单的硬音节模式，表明主要是追溯模式的影响，在口语单词识别。结果强烈表明，单词识别涉及多重激活和延迟承诺，从而确保准确和有效的识别。
This research examines the recognition of two-syllable spoken words and the means by which the auditory word recognition process deals with ambiguous stimulus information. The experiments reported here investigate the influence of individual syllables within two-syllable words on the recognition of each other. Specifically, perceptual identification of two-syllable words comprised of two monosyllabic words (spondees) was examined. Individual syllables within a spondee were characterized as either "easy" or "hard" depending on the syllable's neighborhood characteristics; an easy syllable was defined as a high-frequency word in a sparse neighborhood of low-frequency words, and a hard syllable as a low-frequency word in a high-density, high-frequency neighborhood. In Experiment 1, stimuli were created by splicing together recordings of the component syllables of the spondee, thus equating for syllable stress. Additional experiments tested the perceptual identification of naturally produced spondees, spliced nonwords, and monosyllables alone. Neighborhood structure had a strong effect on identification in all experiments. In addition, identification performance for spondees with a hard-easy syllable pattern was higher than for spondees with an easy-hard syllable pattern, indicating a primarily retroactive pattern of influence in spoken word recognition. Results strongly suggest that word recognition involves multiple activation and delayed commitment, thus ensuring accurate and efficient recognition.