Corpus-based stochastic language models have achieved significant success in speech recognition, but construction of a corpus pertaining to a specific application is a difficult ta...
Abstract— To meet the challenge of increasing design complexity, designers are turning to system level design languages to model systems at a higher level of abstraction. This pa...
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
ing Complex Languages through Transformation and Composition Jendrik Johannes, Steffen Zschaler, Miguel A. Fernández, Antonio Castillo, Dimitrios S. Kolovos and Richard F. Paige ...
Jendrik Johannes, Steffen Zschaler, Miguel A. Fern...
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...