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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 rele...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752893/ https://www.ncbi.nlm.nih.gov/pubmed/31536558 http://dx.doi.org/10.1371/journal.pone.0222703 |
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author | Koplenig, Alexander |
author_facet | Koplenig, Alexander |
author_sort | Koplenig, Alexander |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6752893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67528932019-09-27 A non-parametric significance test to compare corpora Koplenig, Alexander PLoS One Research Article 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. Public Library of Science 2019-09-19 /pmc/articles/PMC6752893/ /pubmed/31536558 http://dx.doi.org/10.1371/journal.pone.0222703 Text en © 2019 Alexander Koplenig http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Koplenig, Alexander A non-parametric significance test to compare corpora |
title | A non-parametric significance test to compare corpora |
title_full | A non-parametric significance test to compare corpora |
title_fullStr | A non-parametric significance test to compare corpora |
title_full_unstemmed | A non-parametric significance test to compare corpora |
title_short | A non-parametric significance test to compare corpora |
title_sort | non-parametric significance test to compare corpora |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752893/ https://www.ncbi.nlm.nih.gov/pubmed/31536558 http://dx.doi.org/10.1371/journal.pone.0222703 |
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