ar X iv : c m p - lg / 9 80 10 01 v 1 1 4 Ja n 19 98 Hierarchical Non - Emitting Markov Models 1
نویسندگان
چکیده
We describe a simple variant of the interpolated Markov model with nonemitting 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.
منابع مشابه
ar X iv : c m p - lg / 9 80 10 01 v 2 1 5 Ja n 19 98 Hierarchical Non - Emitting Markov Models
We describe a simple variant of the interpolated Markov model with nonemitting 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 natural language texts under a wide range of experimental conditions, with only a modest increase in computational requirements. The non-emitting ...
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