  This paper focuses on the analysis of open-ended questions answered in
different languages. Closed-ended questions, called contextual variables, are
asked to all respondents in order to understand the relationships between the
free and the closed responses among the different samples since the latter
assumably affect the word choices. We have developed "Multiple Factor Analysis
on Generalized Aggregated Lexical Tables" (MFA-GALT) to jointly study the
open-ended responses in different languages through the relationships between
the choice of words and the variables that drive this choice. MFA-GALT studies
if variability among words is structured in the same way by variability among
variables, and inversely, from one sample to another. An application on an
international satisfaction survey shows the easy-to-interpret results that are
proposed.
