Some Current Quantitative Problems in Corpus Linguistics and a Sketch of Some Solutions

被引：21
|
作者：
Gries, Stefan Th [1 ]
机构：
[1] Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA
来源：
LANGUAGE AND LINGUISTICS | 2015年 / 16卷 / 01期
关键词：
association measures; mixed-effects; multi-level modeling; MuPDAR; token; type frequencies; variability-based neighbor clustering; CORPORA; MULTIFACTORIAL; LANGUAGE;
D O I：
10.1177/1606822X14556606
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
This paper surveys a variety of methodological problems in current quantitative corpus linguistics. Some problems discussed are from corpus linguistics in general, such as the impact that dispersion, type frequencies/entropies, and directionality (should) have on the computation of association measures as well as the impact that neglecting the sampling structure of a corpus can have on a statistical analysis. Others involve more specialized areas in which corpus-linguistic work is currently booming, such as historical linguistics and learner corpus research. For each of the problems, first ideas/pointers as to how these problems can be resolved are provided and exemplified in some detail.
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页码：93 / 117
页数：25
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