Der Chi-Quadrat-Test und der Log-Likelihood-Ratio-Test sind etwas komplexere statistische Verteilungstests mit zugrunde liegenden Hypothesentests. Diese Maße werden in CL häufig verwendet und in einigen Korpusanalysetools wie WordSmith Tools (Scott 1997), Wmatrix (Rayson et al. 2009) und AntConc (Anthony 2005) implementiert. Ein Problem bei diesen Maßen besteht darin, dass p-Werte generell sehr niedrig sind, da zwei Textkorpora nicht gleich sein können. Das wichtigere Problem ist jedoch, dass sie darauf ausgelegt sind, statistisch unabhängige Ereignisse zu vergleichen und Korpora als „Bag of Words“ zu behandeln. Diese Tests verwenden die Gesamtzahl der Wörter im Korpus und berücksichtigen keine ungleichmäßige Verteilung von Wörtern innerhalb eines Korpus (Lijffijt 2014).
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