A doubly projected analysis for lexical tables

This paper aims at showing how external information contributes in analysing a lexical table by enriching the readability of factorial maps. The theoretical frame is given by Principal Component Analysis onto a Reference Subspace, a method based on the orthogonal projection of a correlation structure on the space spanned by an external set of explanatory variables. In previous papers the idea of a projected lexical analysis has been introduced by using a single reference space for terms. Here we consider a double projection strategy by involving external informative structures both on documents and terms, i.e. on rows and columns of a lexical table.