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...
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
We propose to improve speech recognition performance on speaker-independent, mixed language speech by asymmetric acoustic modeling. Mixed language is either inter-sentential code ...
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...