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Auditory word recognition of verbs: Effects of verb argument structure on referent identification

机译:动词的听觉单词识别:动词自变量结构对指称识别的影响

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摘要

Word recognition includes the activation of a range of syntactic and semantic knowledge that is relevant to language interpretation and reference. Here we explored whether or not the number of arguments a verb takes impinges negatively on verb processing time. In this study, three experiments compared the dynamics of spoken word recognition for verbs with different preferred argument structure. Listeners’ eye movements were recorded as they searched an array of pictures in response to hearing a verb. Results were similar in all the experiments. The time to identify the referent increased as a function of the number of arguments, above and beyond any effects of label appropriateness (and other controlled variables, such as letter, phoneme and syllable length, phonological neighborhood, oral and written lexical frequencies, imageability and rated age of acquisition). The findings indicate that the number of arguments a verb takes, influences referent identification during spoken word recognition. Representational complexity and amount of information generated by the lexical item that aids target identification are discussed as possible sources of this finding.
机译:单词识别包括激活与语言解释和参考相关的一系列句法和语义知识。在这里,我们探讨了动词接受的参数数量是否对动词处理时间产生负面影响。在这项研究中,三个实验比较了具有不同首选参数结构的动词的口语识别能力。在听取一系列图片以回应动词时,记录了听众的眼动。在所有实验中结果均相似。识别对象的时间随参数数量的增加而增加,超过了标签适当性(以及其他受控变量,如字母,音素和音节长度,语音邻域,口头和书面词汇频率,可成像性和额定采集年龄)。研究结果表明,动词采用的论据数量会影响口语单词识别过程中的被指认。代表性的复杂性和词汇项生成的有助于目标识别的信息量被讨论为这一发现的可能来源。

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