反对语料库语言学中的统计显著性检验

IF 1 2区文学 0 LANGUAGE & LINGUISTICS

Corpus Linguistics and Linguistic Theory Pub Date : 2019-10-25 DOI:10.1515/cllt-2016-0036

Alexander Koplenig

{"title":"反对语料库语言学中的统计显著性检验","authors":"Alexander Koplenig","doi":"10.1515/cllt-2016-0036","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":45605,"journal":{"name":"Corpus Linguistics and Linguistic Theory","volume":"15 1","pages":"321 - 346"},"PeriodicalIF":1.0000,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/cllt-2016-0036","citationCount":"52","resultStr":"{\"title\":\"Against statistical significance testing in corpus linguistics\",\"authors\":\"Alexander Koplenig\",\"doi\":\"10.1515/cllt-2016-0036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":45605,\"journal\":{\"name\":\"Corpus Linguistics and Linguistic Theory\",\"volume\":\"15 1\",\"pages\":\"321 - 346\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2019-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1515/cllt-2016-0036\",\"citationCount\":\"52\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Corpus Linguistics and Linguistic Theory\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1515/cllt-2016-0036\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corpus Linguistics and Linguistic Theory","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/cllt-2016-0036","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}

引用次数: 52

摘要

摘要载于《语料库语言学与语言学理论》第一卷，格里斯（2005）。词频的零假设显著性检验：Kilgarriff的后续研究。语料库语言学与语言学理论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该放弃零假设显著性测试。在这篇论文中，我想通过捍卫这样一种论点来重新展开这一讨论，即允许根据样本中观察到的结果对给定人群进行推断的假设——在本例中是对所研究的语言的推断——在本案中是对自然发生的语言数据的收集——没有得到满足。因此，语料库语言学家确实应该放弃零假设意义测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Against statistical significance testing in corpus linguistics

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Corpus Linguistics and Linguistic Theory Multiple-

CiteScore

4.20

自引率

12.50%

发文量

期刊介绍： Corpus Linguistics and Linguistic Theory (CLLT) is a peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research, or other recognized topic areas. It provides a forum for researchers from different theoretical backgrounds and different areas of interest that share a commitment to the systematic and exhaustive analysis of naturally occurring language. Contributions from all theoretical frameworks are welcome but they should be addressed at a general audience and thus be explicit about their assumptions and discovery procedures and provide sufficient theoretical background to be accessible to researchers from different frameworks. Topics Corpus Linguistics Quantitative Linguistics Phonology Morphology Semantics Syntax Pragmatics.