@article{Koplenig2017,
  author    = {Alexander Koplenig},
  title     = {Against statistical significance testing in corpus linguistics},
  series   = {Corpus Linguistics and Linguistic Theory},
  volume    = {15},
  number    = {2},
  publisher = {De Gruyter},
  address   = {Berlin [u.a.]},
  issn      = {1613-7027 (Print)},
  doi       = {10.1515/cllt-2016-0036},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61995},
  pages     = {321 -- 346},
  year      = {2017},
  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.},
  language  = {en}
}