Ellis Nick C, Ogden Dave C
Department of Psychology, University of Michigan.
Department of Linguistics, University of Michigan.
Top Cogn Sci. 2017 Jul;9(3):604-620. doi: 10.1111/tops.12256. Epub 2017 Feb 24.
Usage-based approaches to language hold that we learn multiword expressions as patterns of language from language usage, and that knowledge of these patterns underlies fluent language processing. This paper explores these claims by focusing upon verb-argument constructions (VACs) such as "V(erb) about n(oun phrase)." These are productive constructions that bind syntax, lexis, and semantics. It presents (a) analyses of usage patterns of English VACs in terms of their grammatical form, semantics, lexical constituency, and distribution patterns in large corpora; (b) patterns of VAC usage in child-directed speech and child language acquisition; and (c) investigations of VAC free-association and psycholinguistic studies of online processing. We conclude that VACs are highly patterned in usage, that this patterning drives language acquisition, and that language processing is sensitive to the forms of the syntagmatic construction and their distributional statistics, the contingency of their association with meaning, and spreading activation and prototypicality effects in semantic reference. Language users have rich implicit knowledge of the statistics of multiword sequences.
基于用法的语言学习方法认为,我们从语言使用中把多词表达式作为语言模式来学习,并且这些模式的知识是流畅语言处理的基础。本文通过聚焦于动词-论元结构(VACs),如“V(动词)about n(名词短语)”,来探究这些观点。这些是结合了句法、词汇和语义的生成性结构。本文呈现了:(a)根据英语VACs在大型语料库中的语法形式、语义、词汇组成和分布模式对其使用模式进行的分析;(b)儿童导向言语和儿童语言习得中的VAC使用模式;以及(c)VAC自由联想的研究和在线处理的心理语言学研究。我们得出结论,VACs在使用中具有高度的模式化,这种模式化推动了语言习得,并且语言处理对组合结构的形式及其分布统计、它们与意义的关联性、语义参照中的扩散激活和原型效应敏感。语言使用者对多词序列的统计有丰富的隐性知识。