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.

本文探讨了针对不同语言回答的开放式问题的分析。我们开发了一个被称为MFA-GALT的工具，它能够通过不同样本中闭合式问题的回答，研究自由回答的词语选择及其驱动因素之间的关系，并确定词汇变异是否在不同样本中按相同的模式呈现。一项对国际满意度调查的应用显示出了易于解释的结果。

多语种文本数据：多因素分析方法