This paper focuses on the analysis of open-ended questions answered in dif-ferent languages. Closed-ended questions, called contextual variables, are asked to allrespondents in order to understand the relationships between open-ended and closed-ended responses across samples, as the latter are likely to influence word choice. We havedeveloped "Multiple Factor Analysis on Generalised Aggregated Lexical Tables" (MFA-GALT) to examine together open-ended responses in different languages through the re-lationships between word choice and the variables that drive that choice. MFA-GALT investigates whether the variability between words is structured in the same way as thevariability between variables, and vice versa, from one sample to another. An applicationto an international satisfaction survey shows the easy-to-interpret results proposed.