Multiple Correspondence Analysis as Heuristic Tool to Unveil Confounding Variables in Corpus Linguistics
Year: 2012
Type: conference-paper
Abstract: Corpus linguistic research relies on corpora which generally display an unbalanced structure. We will discuss a potential corollary of this biased structure which is rarely accounted for in (corpus) linguistics, namely con-founding variables. These are variables increasing, diminishing or reversing an explanatory variables marginal effect compared to its conditional effect. Analyzing four instances of confounding in a variational case study governed by a series of categorical explanatory variables, we will argue that these latent confounders can be unveiled modeling the co-occurrence patterns of the explanatory variables by means of a multiple correspondence analysis.
Source: Lirias
Authors: José Tummers, Dirk Speelman, Dirk Geeraerts
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2520458445