Gaston Phoebe, Brodbeck Christian, Phillips Colin, Lau Ellen
Department of Linguistics, University of Maryland, College Park, MD, USA.
Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA.
Neurobiol Lang (Camb). 2023 Jan 18;4(1):29-52. doi: 10.1162/nol_a_00084. eCollection 2023.
Partial speech input is often understood to trigger rapid and automatic activation of successively higher-level representations of words, from sound to meaning. Here we show evidence from magnetoencephalography that this type of incremental processing is limited when words are heard in isolation as compared to continuous speech. This suggests a less unified and automatic word recognition process than is often assumed. We present evidence from isolated words that neural effects of phoneme probability, quantified by phoneme surprisal, are significantly stronger than (statistically null) effects of phoneme-by-phoneme lexical uncertainty, quantified by cohort entropy. In contrast, we find robust effects of both cohort entropy and phoneme surprisal during perception of connected speech, with a significant interaction between the contexts. This dissociation rules out models of word recognition in which phoneme surprisal and cohort entropy are common indicators of a uniform process, even though these closely related information-theoretic measures both arise from the probability distribution of wordforms consistent with the input. We propose that phoneme surprisal effects reflect automatic access of a lower level of representation of the auditory input (e.g., wordforms) while the occurrence of cohort entropy effects is task sensitive, driven by a competition process or a higher-level representation that is engaged late (or not at all) during the processing of single words.
部分语音输入通常被理解为会触发从声音到意义的单词连续更高层次表征的快速自动激活。在这里,我们展示了来自脑磁图的证据,即与连续语音相比,当单独听到单词时,这种增量处理是有限的。这表明单词识别过程比通常假设的要不那么统一和自动。我们提供了来自孤立单词的证据,即由音素惊奇度量化的音素概率的神经效应明显强于由词群熵量化的逐个音素词汇不确定性的(统计上为零的)效应。相比之下,我们发现在连贯语音感知过程中,词群熵和音素惊奇度都有显著影响,且上下文之间存在显著交互作用。这种分离排除了单词识别模型,在这些模型中,音素惊奇度和词群熵是统一过程的共同指标,尽管这些密切相关的信息理论度量都来自与输入一致的词形概率分布。我们提出,音素惊奇度效应反映了对听觉输入较低层次表征(如词形)的自动访问,而词群熵效应的出现对任务敏感,由竞争过程或在单个单词处理过程中较晚(或根本不)参与的更高层次表征驱动。