Lexicalization in the developing parser

Aaron Steven White, J. Lidz
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引用次数: 2

Abstract

We use children’s noun learning as a probe into the nature of their syntactic prediction mechanism and the statistical knowledge on which that prediction mechanism is based. We focus on verb-based predictions, considering two possibilities: children’s syntactic predictions might rely on distributional knowledge about specific verbs—i.e. they might be lexicalized — or they might rely on distributional knowledge that is general to all verbs. In an intermodal preferential looking experiment, we establish that, by as early as 19 months of age, verb-based predictions are lexicalized: children encode the syntactic distributions of particular verbs and use those distributions to make predictions, but they do not assume that these can be used for verbs in general. knowledge from specific lexical Our data suggests that syntactic knowledge begins with abstract categories and that lexically specific distributional information informs the development of parsing strategies, but not the knowledge itself. That knowledge is revealed when we take away children’s ability to rely on lexically specific knowledge, as in the current study.
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正在开发的解析器中的词汇化
本文以儿童名词学习为研究对象,探讨儿童句法预测机制的本质及其所依据的统计知识。我们专注于基于动词的预测,考虑了两种可能性:儿童的句法预测可能依赖于对特定动词的分布性知识。它们可能是词汇化的——或者它们可能依赖于所有动词通用的分布知识。在一项多式联运优先观察实验中,我们发现,早在19个月大的时候,基于动词的预测就已经被词汇化了:孩子们对特定动词的句法分布进行编码,并使用这些分布进行预测,但他们并不认为这些可以用于一般的动词。我们的数据表明,句法知识始于抽象类别,词汇特定的分布信息会影响解析策略的发展,而不是知识本身。当我们不考虑孩子依赖词汇特定知识的能力时,这种知识就会显现出来,就像目前的研究一样。
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