Hierarchical Non-Emitting Markov Models

Details Hierarchical Non-Emitting Markov Models Hierarchical Non-Emitting Markov Models

1998-01-14

arxiv.org/abs/cmp-lg/9801001v3

Computer Science

Computation and Language

http://www.cs.princeton.edu/~ristad/papers/pu-544-97.ps.gz

Scientific paper

We describe a simple variant of the interpolated Markov model with non-emitting state transitions and prove that it is strictly more powerful than any Markov model. More importantly, the non-emitting model outperforms the classic interpolated model on the natural language texts under a wide range of experimental conditions, with only a modest increase in computational requirements. The non-emitting model is also much less prone to overfitting. Keywords: Markov model, interpolated Markov model, hidden Markov model, mixture modeling, non-emitting state transitions, state-conditional interpolation, statistical language model, discrete time series, Brown corpus, Wall Street Journal.

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