Mathematical morphology tools to evaluate periodic linguistic summaries

Abstract

This paper considers the task of establishing periodic linguistic summaries of the form "Regularly, the data take high values", enriched with an estimation of the period and a linguistic formulation. Within the framework of methods that address this task testing whether the dataset contains regularly spaced groups of high and low values with approximately constant size, it proposes a mathematical morphology (MM) approach based on watershed. It compares the proposed approach to other MM methods in an experimental study based on artificial data with different forms and noise types. © 2013 Springer-Verlag Berlin Heidelberg.