The role of morphology in phoneme prediction: Evidence from MEG

被引:41
作者
Ettinger, Allyson [1 ,2 ,4 ]
Linzen, Tal [1 ]
Marantz, Alec [1 ,2 ,3 ]
机构
[1] NYU, Dept Linguist, New York, NY 10003 USA
[2] NYU, Dept Psychol, New York, NY 10003 USA
[3] New York Univ Abu Dhabi, NYUAD Inst, Abu Dhabi, U Arab Emirates
[4] Univ Maryland, Dept Linguist, College Pk, MD 20742 USA
基金
美国国家科学基金会;
关键词
MEG; Spoken word recognition; Prediction; Morphology; Surprisal; Entropy; WORD RECOGNITION; LEXICAL ACCESS; MODEL;
D O I
10.1016/j.bandl.2013.11.004
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
There is substantial neural evidence for the role of morphology (word-internal structure) in visual word recognition. We extend this work to auditory word recognition, drawing on recent evidence that phoneme prediction is central to this process. In a magnetoencephalography (MEG) study, we crossed morphological complexity (bruis-er vs. bourbon) with the predictability of the word ending (bourbon vs. burble). High prediction error (surprisal) led to increased auditory cortex activity. This effect was enhanced for morphologically complex words. Additionally, we calculated for each timepoint the surprisal corresponding to the phoneme perceived at that timepoint, as well as the cohort entropy, which quantifies the competition among words compatible with the string prefix up to that timepoint. Higher surprisal increased neural activity at the end of the word, and higher entropy decreased neural activity shortly after word onset. These results reinforce the role of morphology and phoneme prediction in spoken word recognition. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:14 / 23
页数:10
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