我们的(大多数)离散度测量(最多)测量什么?分散?

IF 1.2 4区 教育学 Q2 EDUCATION & EDUCATIONAL RESEARCH
S. Gries
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引用次数: 4

摘要

本文讨论了语料库语言学中大多数最广泛使用的离散度测量方法在多大程度上不是特别有效的,因为它们实际上是测量离散度的,而不是大量频率和少量离散度的混合。本文在各种语料库数据的基础上论证了这些问题。然后,我概述了如何设计一种只测量离散度的离散度度量,并表明(I)它确实以直观的方式测量了与频率不同的信息,以及(ii)与几乎所有测试语料库中的几乎所有其他度量相比,它对MALD数据库中的词汇决策时间具有更高的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What do (most of) our dispersion measures measure (most)? Dispersion?
This paper discusses the degree to which most of the most widely-used measures of dispersion in corpus linguistics are not particularly valid in the sense of actually measuring dispersion rather than some amalgam of a lot of frequency and a little dispersion. The paper demonstrates these issues on the basis of data from a variety of corpora. I then outline how to design a dispersion measure that only measures dispersion and show that (i) it indeed measures information that is different from frequency in an intuitive way and (ii) has a higher degree of predictive power of lexical decision times from the MALD database than nearly all other measures in nearly all corpora tested.
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来源期刊
CiteScore
1.90
自引率
10.00%
发文量
9
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