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NIPS
2008
13 years 11 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith
AIA
2006
13 years 11 months ago
Computational Model of Speech Understanding
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
Daniel Nehme Müller, Philippe Olivier Alexand...
ACL
1998
13 years 11 months ago
Some Properties of Preposition and Subordinate Conjunction Attachments
Determining the attachments of prepositions and subordinate conjunctions is a key problem in parsing natural language. This paper presents a trainable approach to making these att...
Alexander S. Yeh, Marc B. Vilain
COLING
1996
13 years 11 months ago
Integrating Syntactic and Prosodic Information for the Efficient Detection of Empty Categories
We describe a number of experiments that demonstrate the usefulness of prosodic information for a processing module which parses spoken utterances with a feature-based grammar emp...
Anton Batliner, Anke Feldhaus, Stefan Geißle...
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth