Volltext-Downloads (blau) und Frontdoor-Views (grau)

A non-parametric significance test to compare corpora

  • Classical null hypothesis significance tests are not appropriate in corpus linguistics, because the randomness assumption underlying these testing procedures is not fulfilled. Nevertheless, there are numerous scenarios where it would be beneficial to have some kind of test in order to judge the relevance of a result (e.g. a difference between two corpora) by answering the question whether the attribute of interest is pronounced enough to warrant the conclusion that it is substantial and not due to chance. In this paper, I outline such a test.

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Alexander Koplenig
URN:urn:nbn:de:bsz:mh39-92494
DOI:https://doi.org/10.1371/journal.pone.0222703
ISSN:1932-6203
Parent Title (English):PLoS One
Publisher:PLOS
Place of publication:San Francisco, California, USA
Document Type:Article
Language:English
Year of first Publication:2019
Date of Publication (online):2019/09/20
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:corpus linguistic methodology; null-hypothesis testing; quantitative approaches
GND Keyword:Korpus <Linguistik>; Sprachstatistik; Statistischer Test
Volume:14
Issue:9
First Page:1
Last Page:18
Note:
The publication of this article was partially funded by the Open Access Fund of the Leibniz Association
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International