We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition....
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed lan...
We study the expressiveness and performance of full-text search languages. Our main motivation is to provide a formal basis for comparing such languages and to develop a model for...
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...