Section: Application Domains

Computational linguistics

We propose and study new language models that bridge the gap between models oriented towards the statistical analysis of large corpora and grammars oriented towards the description of syntactic features as understood by academic experts. We have conceived a new kind of grammar, based on some cut and paste mechanism and some label aggregation principle, that can be fully learnt from a corpus. We are currently testing this model and studying its mathematical properties and relations with some other new statistical models based on conditional independence assumptions.