Statistical language modeling using a variable context length


In this paper we investigate statistical language models with a variable context length. For such models the number of relevant words in a context is not xed as in conventional M gram models but depends on the context itself. We develop a measure for the quality of variable-length models and present a pruning algorithm for the creation of such models, based… (More)


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@inproceedings{Kneser1996StatisticalLM, title={Statistical language modeling using a variable context length}, author={Reinhard Kneser}, booktitle={ICSLP}, year={1996} }