Probability and statistics in computational linguistics a brief review. - Three issues in modern language modeling. - Stochastic analysis of Structured Language Modeling. - Latent semantic language modeling for speech recognition. - Prosody modeling for automatic speech recognition and understanding. - Switching dynamic system models for speech articulation and acoustics. - Segmental HMMS: Modeling dynamics and underlying structure in speech. - Modelling graph-based observation spaces for segment-based speech recognition. - Towards robust and adaptive speech recognition models. - Graphical models and automatic speech recognition. - An introduction to Markov chain Monte Carlo methods. - Semiparametric filtering in speech processing. - List of workshop participants. Language: English