A Multilingual System Based on Semantic Knowledge for Complex Environments

Abstract

This paper presents a system for the management of audio information based on semantic knowledge in complex environments. These environments are defined by: the limited resources (audio corpora); the poor quality of the signal (internet radio); the trilingual context (Basque, French and Spanish); the cross-lingual elements between the languages; and the critical under-resourced situation of the Basque minority language. Evolutionary methods have been applied to fulfill the specifications based on: folksonomies, automatic configuration selection, and collaborative networks. The resulting system includes a multilingual ASR engine that is able to tackle under-resourced languages with a very small audio corpus.