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通过假设说话者提供了信息来推断词义。

Inferring word meanings by assuming that speakers are informative.

作者信息

Frank Michael C, Goodman Noah D

机构信息

Department of Psychology, Stanford University, United States.

Department of Psychology, Stanford University, United States.

出版信息

Cogn Psychol. 2014 Dec;75:80-96. doi: 10.1016/j.cogpsych.2014.08.002. Epub 2014 Sep 18.

Abstract

Language comprehension is more than a process of decoding the literal meaning of a speaker's utterance. Instead, by making the assumption that speakers choose their words to be informative in context, listeners routinely make pragmatic inferences that go beyond the linguistic data. If language learners make these same assumptions, they should be able to infer word meanings in otherwise ambiguous situations. We use probabilistic tools to formalize these kinds of informativeness inferences-extending a model of pragmatic language comprehension to the acquisition setting-and present four experiments whose data suggest that preschool children can use informativeness to infer word meanings and that adult judgments track quantitatively with informativeness.

摘要

语言理解不仅仅是一个解码说话者话语字面意思的过程。相反,通过假设说话者会在语境中选择具有信息性的词语,听众通常会做出超越语言数据的语用推理。如果语言学习者做出同样的假设,那么他们应该能够在其他模糊的情况下推断出单词的含义。我们使用概率工具将这些信息性推理形式化——将语用语言理解模型扩展到习得情境——并呈现四个实验,其数据表明学龄前儿童能够利用信息性来推断单词含义,并且成年人的判断在数量上与信息性相关。

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