Synonymy is a pivot relation in NLP but remains problematic. Putting forward, we introduce the notion of relative synonymy, to circumvent some diÆculties among which possible polysemy and contextual interpretation. In the framework of conceptual vectors, it is then possible to formalize test functions for synonymy and to experiment their use in thematic analysis that will help text classi cation.

Automatic extraction of semantic information, if successful, offers to languages with little or poor resources, the prospects of creating ontological resources inexpensively, thus providing support for commonsense reasoning applications in those languages. In this paper we explore the automatic extraction of synonymy information from large corpora using two complementary techniques: a generic b...

Automatic extraction of semantic information, if successful, offers to languages with little or poor resources, the prospects of creating ontological resources inexpensively, thus providing support for common-sense reasoning applications in those languages. In this paper we explore the automatic extraction of synonymy information from large corpora using two complementary techniques: a generic ...

Automatic extraction of semantic information, if successful, offers to languages with little or poor resources, the prospects of creating ontological resources inexpensively, thus providing support for commonsense reasoning applications in those languages. In this paper we explore the automatic extraction of synonymy information from large corpora using two complementary techniques: a generic b...

The aim of this study was to explain why children have difficulty with homonymy. Two experiments were conducted with forty-eight children (Experiment 1) and twenty-four children (Experiment 2). Three- and four-year-old children had to either select or judge another person's selection of a different object with the same name, avoiding identical objects and misnomers. Older children were successf...