Abstract--With the availability of large corpora of spoken dialog, it is now possible to use data-driven techniques to build and use models of task-oriented dialogs. In this paper,...
Srinivas Bangalore, Giuseppe Di Fabbrizio, Amanda ...
This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...
Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...
We describe a new approach for phoneme recognition which aims at minimizing the phoneme error rate. Building on structured prediction techniques, we formulate the phoneme recogniz...
This article is concerned with the building of a test data set for assisting the industrial user in machine translation evaluation. The emphasis is laid on the interest of an appr...