More than words: Frequency effects for multi-word phrases

被引:342
作者
Arnon, Inbal [1 ]
Snider, Neal [2 ]
机构
[1] Stanford Univ, Dept Linguist, Stanford, CA 94305 USA
[2] Univ Rochester, Dept Brain & Cognit Sci, Rochester, NY 14627 USA
基金
美国国家科学基金会;
关键词
Frequency; Usage-based models; Lexicon; Comprehension; Ngram; LEXICAL DECISION; VERB INFORMATION; FIXATION TIMES; MODELS; LANGUAGE; USAGE; CONSTRAINTS; GRAMMAR; ACCESS; PREDICTABILITY;
D O I
10.1016/j.jml.2009.09.005
中图分类号
H0 [语言学];
学科分类号
050103 [汉语言文字学];
摘要
There is mounting evidence that language users are sensitive to distributional information at many grain-sizes. Much of this research has focused on the distributional properties of words, the units they consist of (morphemes, phonemes), and the syntactic structures they appear in (verb-categorization frames, syntactic constructions). In a series of studies we show that comprehenders are also sensitive to the frequencies of compositional four-word phrases (e.g. don't have to worry): more frequent phrases are processed faster. The effect is not reducible to the frequency of the individual words or substrings and is observed across the entire frequency range (for low, mid- and high frequency phrases). Comprehenders seem to learn and store frequency information about multi-word phrases. These findings call for processing models that can capture and predict phrase-frequency effects and support accounts where linguistic knowledge consists of patterns of varying sizes and levels of abstraction. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:67 / 82
页数:16
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