Abstract In this talk, I will present a general Bayesian statistical framework for constraint-free speech recognition based on a functional model for global characteristics of human speech communication (production and perception). The model consists of[…]
Abstract In this talk I will focus on several general issues surrounding perceptual learning in speech perception. While my major interest centers on the learning of nonnative speech contrasts by mature adults, much of what[…]
Abstract We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to possible parses for a sentence. This model is used in a parsing system[…]
Recent work has demonstrated that maximum entropy models are a promising technique for combining multiple sources of information; applications of maximum entropy models have included language modeling, prepositional phrase attachment, and machine translation. Smoothing is[…]
Abstract A necessary component of any natural language processing program is the dictionary, an electronic database containing syntactic and semantic definitions of natural language words. This talk addresses the issue of how one might construct[…]
Abstract This talk will be based on the following forthcoming book: Finite-State Language Processing, edited by E. Roche and Y. Schabes, MIT Press (forthcoming 1997).Finite-state devices such as finite-sate automata, graphs and finite-sate transducers have[…]
Abstract We have been investigating the role of cortical structures in acoustic-phonetic processing using the clinical technique of direct cortical electrical interference. Electrical interference testing is routinely used to map speech and language functions in[…]
