Against statistical significance testing in corpus linguistics

Corpus Linguistics: Quantitative Methods

p. 1, par. 2: Until relatively recently, however, words and syntactic patterns, or constructions, were treated on a par not only theoretically, but also empirically. → It is only since recently, however, that words and syntactic patterns, or constructions, are treated on a par not only theoretically, but also empirically. p. 1, first bullet: how much does give prefer to occur in the ditransitiv...

Machine Translation - Corpus Linguistics

Due to the importance of communication between two or more people, companies, or even nations, the need for good translators has long been obvious around the world, and since humans are faulty, it is not surprising that many attempts to automate the process of translation have been made throughout history. This is called machine translation. Corpus linguistics, a branch of the machine translati...

Statistical significance and statistical power in hypothesis testing.

Experimental design requires estimation of the sample size required to produce a meaningful conclusion. Often, experimental results are performed with sample sizes which are inappropriate to adequately support the conclusions made. In this paper, two factors which are involved in sample size estimation are detailed--namely type I (alpha) and type II (beta) error. Type I error can be considered ...

Lexicography and Corpus Linguistics

What is Corpus Linguistics?

Corpus linguistics is one of the fastest-growing methodologies in contemporary linguistics. In a conversational format, this article answers a few questions that corpus linguists regularly face from linguists who have not used corpus-based methods so far. It discusses some of the central assumptions (‘formal distributional differences reflect functional differences’), notions (corpora, represen...