TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Koplenig, Alexander
T1  - A non-parametric significance test to compare corpora
JF  - PLoS One
N2  - 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.
KW  - Korpus <Linguistik>
KW  - Sprachstatistik
KW  - Statistischer Test
KW  - corpus linguistic methodology
KW  - null-hypothesis testing
KW  - quantitative approaches
Y1  - 2019
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-92494
SN  - 1932-6203
SS  - 1932-6203
U6  - https://doi.org/10.1371/journal.pone.0222703
DO  - https://doi.org/10.1371/journal.pone.0222703
N1  - The publication of this article was partially funded by the Open Access Fund of the Leibniz Association
VL  - 14
IS  - 9
SP  - 1
EP  - 18
PB  - PLOS
CY  - San Francisco, California, USA
ER  -