Fruchter Joseph, Marantz Alec
Department of Psychology, New York University, New York, NY, USA.
Department of Psychology, New York University, New York, NY, USA; Department of Linguistics, New York University, New York, NY, USA; NYUAD Institute, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Brain Lang. 2015 Apr;143:81-96. doi: 10.1016/j.bandl.2015.03.001. Epub 2015 Mar 19.
There is much evidence that visual recognition of morphologically complex words (e.g., teacher) proceeds via a decompositional route, first involving recognition of their component morphemes (teach + -er). According to the Full Decomposition model, after the visual decomposition stage, followed by morpheme lookup, there is a final "recombination" stage, in which the decomposed morphemes are combined and the well-formedness of the complex form is evaluated. Here, we use MEG to provide evidence for the temporally-differentiated stages of this model. First, we demonstrate an early effect of derivational family entropy, corresponding to the stem lookup stage; this is followed by a surface frequency effect, corresponding to the later recombination stage. We also demonstrate a late effect of a novel statistical measure, semantic coherence, which quantifies the gradient semantic well-formedness of complex words. Our findings illustrate the usefulness of corpus measures in investigating the component processes within visual word recognition.
有大量证据表明,对形态复杂的单词(如teacher)的视觉识别是通过分解路径进行的,首先涉及对其组成词素(teach + -er)的识别。根据完全分解模型,在视觉分解阶段之后,接着是词素查找,最后是一个“重新组合”阶段,在这个阶段中,分解后的词素被组合起来,并对复杂形式的合法性进行评估。在这里,我们使用脑磁图(MEG)为该模型的时间分化阶段提供证据。首先,我们证明了派生家族熵的早期效应,这对应于词干查找阶段;随后是表面频率效应,这对应于后期的重新组合阶段。我们还证明了一种新的统计量度——语义连贯性的后期效应,它量化了复杂单词的梯度语义合法性。我们的研究结果说明了语料库测量在研究视觉单词识别中的组成过程方面的有用性。