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Investigating Thematic Roles through Implicit Learning: Evidence from Light Verb Constructions

机译:通过内隐学习研究主题角色:来自轻动词构造的证据

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The syntactic structure of a sentence is usually a strong predictor of its meaning: Each argument noun phrase (i.e., Subject and Object) should map onto exactly one thematic role (i.e., Agent and Patient, respectively). Some constructions, however, are exceptions to this pattern. This paper investigates how the syntactic structure of an utterance contributes to its construal, using ditransitive English light verb constructions, such as “Nils gave a hug to his brother,” as an example of such mismatches: Hugging is a two-role event, but the ditransitive syntactic structure suggests a three-role event. Data from an eye-tracking experiment and behavioral categorization data reveal that listeners learn to categorize sentences according to the number of thematic roles they convey, independent of their syntax. Light verb constructions, however, seem to form a category of their own, in which the syntactic structure leads listeners down an initial incorrect assignment of thematic roles, from which they only partly recover. These results suggest an automatic influence of syntactic argument structure on semantic interpretation and event construal, even in highly frequent constructions.
机译:句子的句法结构通常是其含义的重要指标:每个论点名词短语(即主语和宾语)都应精确映射到一个主题角色(即分别为Agent和Patient)。但是,某些构造是该模式的例外。本文研究了话语的句法结构是如何帮助其解释的,并使用了双和音的英语轻动词结构,例如“尼尔斯拥抱了他的兄弟”,作为这种不匹配的一个例子:拥抱是两个角色的事件,但是双及物句法结构暗示了一个三角色事件。来自眼动实验的数据和行为分类数据表明,听者可以根据所传达的主题角色的数量来学习对句子进行分类,而与语法无关。但是,轻动词结构似乎是它们自己的一个类别,其中的句法结构引导听众对主题角色进行最初的错误分配,从中他们只能部分恢复。这些结果表明,即使在非常频繁的构造中,句法论证结构也会自动影响语义解释和事件解释。

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