动词次分类频率:美国英语语料库数据、方法学研究和跨语料库比较。

Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc Pub Date : 2004-08-01 DOI:10.3758/bf03195591

Susanne Gahl, Dan Jurafsky, Douglas Roland

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引用次数: 66

摘要

动词的子范畴频率(即动词偏误)在心理语言学中得到了广泛的研究，在人类句子加工中起着重要的作用。然而，现有的子分类频率资源覆盖范围有限，生态有效性有限，编码标准不一。例如，对动词及物性的先前估计因语料库规模、覆盖范围和编码标准而有很大差异。本文提供了心理语言学研究感兴趣的281个动词的规范化数据，这些数据取自美国英语语料库，并提供了详细的编码手册。我们研究了各种编码决策和计算动词偏差的方法对及物性偏差的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons.

Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.

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Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc

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