Luca Gilardi


2016

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Detecting Cross-Cultural Differences Using a Multilingual Topic Model
E.D. Gutiérrez | Ekaterina Shutova | Patricia Lichtenstein | Gerard de Melo | Luca Gilardi
Transactions of the Association for Computational Linguistics, Volume 4

Understanding cross-cultural differences has important implications for world affairs and many aspects of the life of society. Yet, the majority of text-mining methods to date focus on the analysis of monolingual texts. In contrast, we present a statistical model that simultaneously learns a set of common topics from multilingual, non-parallel data and automatically discovers the differences in perspectives on these topics across linguistic communities. We perform a behavioural evaluation of a subset of the differences identified by our model in English and Spanish to investigate their psychological validity.