This paper proposes a new approach to the challenging open-set language detection task. Most state-of-the-art approaches make use of data sources with several out-of-set languages...
Mohamed Faouzi BenZeghiba, Jean-Luc Gauvain, Lori ...
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
In this paper, we present a framework for formal modeling and verification of service-based business processes with focus on their compliance to external regulations such as Segreg...
Sentence segmentation and punctuation recovery are critical components for effective spoken language translation (SLT). In this paper we describe our recent work on sentence segme...
Matthias Paulik, Sharath Rao, Ian R. Lane, Stephan...
This paper describes and evaluates various general stemming approaches for the French, Portuguese (Brazilian), German and Hungarian languages. Based on the CLEF test-collections, ...