ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Probabilistic constraint for integrated speech and language processing

Katashi Nagao, Koiti Hasida, Takashi Miyata

A totally constraint-based computational architecture is applied to integration of speech and natural language processing. A major research issue in designing information processing systems based on constraint (level of description abstracting away from information flow) is how to guarantee global adequacy of computation. A probabilistic semantics of Horn clause programs is introduced, which is a generalization of hidden Markov models, stochastic context-free grammars, etc., and a computational method for maximum likelihood estimation is proposed. This computation deals efficiently with probabilistically dependent events, and is regarded as a sort of A* search in a general sense. Furthermore, this computational architecture supports omnidirectional information flow among heterogeneous knowledge sources, from acoustics to pragmatics, and naturally resolves problems in spoken language understanding with-out any domain/task dependent prescription of information flow.


Cite as: Nagao, K., Hasida, K., Miyata, T. (1994) Probabilistic constraint for integrated speech and language processing. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 25-28

@inproceedings{nagao94_icslp,
  author={Katashi Nagao and Koiti Hasida and Takashi Miyata},
  title={{Probabilistic constraint for integrated speech and language processing}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={25--28}
}