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Stochastic semantic analysis

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Stochastic semantic analysis is an approach used in computer science as a semantic component of natural language understanding.

Stochastic models generally use the definition of segments of words as basic semantic units for the semantic models, and in some cases involve a two layered approach.[1]

References

  • Stochastically-based semantic analysis by Wolfgang Minker, Alex Waibel, Joseph Mariani 1999 ISBN 0792385713

Notes

  1. ^ Language Understanding Using Two-Level Stochastic Models by F. Pla, et al, 2001, Springer Lecture Notes in Computer Science ISBN 978-3-540-42557-1
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