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Tracking the time course of multi-word noun phrase production with ERPs or on when (and why) cat is faster than the big cat

机译:使用ERP跟踪多词名词短语生成的时间过程或者跟踪何时(以及为什么)猫比大型猫更快

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摘要

Words are rarely produced in isolation. Yet, our understanding of multi-word production, and especially its time course, is still rather poor. In this research, we use event-related potentials to examine the production of multi-word noun phrases in the context of overt picture naming. We track the processing costs associated with the production of these noun phrases as compared with the production of bare nouns, from picture onset to articulation. Behavioral results revealed longer naming latencies for French noun phrases with determiners and pre-nominal adjectives (D-A-N, the big cat) than for noun phrases with a determiner (D-N, the cat), or bare nouns (N, cat). The spatio-temporal analysis of the ERPs revealed differences in the duration of stable global electrophysiological patterns as a function of utterance format in two time windows, from ~190 to 300 ms after picture onset, and from ~530 ms after picture onset to 100 ms before articulation. These findings can be accommodated in the following model. During grammatical encoding (here from ~190 to 300 ms), the noun and adjective lemmas are accessed in parallel, followed by the selection of the gender-agreeing determiner. Phonological encoding (after ~530 ms) operates sequentially. As a consequence, the phonological encoding process is longer for longer utterances. In addition, when determiners are repeated across trials, their phonological encoding can be anticipated or primed, resulting in a shortened encoding process.
机译:言语很少孤立地产生。但是,我们对多词产生,尤其是其时间过程的理解仍然很差。在这项研究中,我们使用事件相关的电位来检查在公开图片命名的背景下多词名词短语的产生。从图片开始到发音,我们跟踪与这些名词短语的产生以及与裸名词的产生相关的处理成本。行为结果表明,带有限定词和名词前形容词的法语名词短语(D-A-N,大猫)的命名潜伏期比带有限定词的法语名词短语(D-N,猫)或裸名词(N,cat)更长。对ERPs的时空分析显示,在两个时间窗口内,稳定的全局电生理模式的持续时间随发声格式的变化而变化,这两个时间窗口是在图片开始后〜190至300 ms,以及图片开始后〜530 ms至100 ms发音之前。这些发现可以包含在以下模型中。在语法编码过程中(此处为〜190到300毫秒),名词和形容词引词是并行访问的,然后选择同意性别的确定词。语音编码(约530毫秒后)按顺序进行。结果,对于更长的话语,语音编码过程更长。另外,当在整个试验中重复确定者时,可以预期或预判其语音编码,从而缩短了编码过程。

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