Au sein de cette démonstration, nous présentons Muzeeglot, une interface web permettant de visualiser des espaces de représentations de genres musicaux provenant de sources variées et de langues différentes. Nous montrons l’efficacité de notre système à prédire automatiquement les genres correspondant à une entité musicale (titre, artiste, album...) selon une certaine source ou langue, étant données des annotations provenant de sources ou de langues différentes.

In this paper, we describe and evaluate an unsupervised method for acquiring pairs of lexical entries belonging to the same morphological family, i.e., derivationally related words, starting from a purely inflectional lexicon. Our approach relies on transformation rules that relate lexical entries with the one another, and which are automatically extracted from the inflected lexicon based on surface form analogies and on part-of-speech information. It is generic enough to be applied to any language with a mainly concatenative derivational morphology. Results were obtained and evaluated on English, French, German and Spanish. Precision results are satisfying, and our French results favorably compare with another resource, although its construction relied on manually developed lexicographic information whereas our approach only requires an inflectional lexicon.