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Against statistical significance testing in corpus linguistics
Corpus Linguistics and Linguistic Theory ( IF 1.0 ) Pub Date : 2019-10-25 , DOI: 10.1515/cllt-2016-0036
Alexander Koplenig

Abstract In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/cllt.2005.1.2.277. http://www.degruyter.com/view/j/cllt.2005.1.issue-2/cllt.2005.1.2.277/cllt.2005.1.2.277.xml: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.

中文翻译:

反对语料库语言学中的统计显着性检验

摘要在《语料库语言学和语言理论》第一卷中,格里斯(2005年)。词频的零假设显着性检验:Kilgarriff的后续研究。语料库语言学和语言学理论1(2)。doi:10.1515 / cllt.2005.1。 2.277。http://www.degruyter.com/view/j/cllt.2005.1.issue-2/cllt.2005.1.2.277/cllt.2005.1.2.277.xml:285)询问语料库语言学家是否应放弃零假设假设意义测试。在本文中,我想通过辩护这一论点来重振这一讨论,即基于样本中观察到的结果,该假设可以推论给定人口(在这种情况下是对所研究语言的推断)的假设,在这种情况下是自然语言的集合数据–未实现。结果,语料库语言学家确实应该放弃零假设假设意义测试。
更新日期:2019-10-25
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