Statistical language modeling using a variable context length

@inproceedings{Kneser1996StatisticalLM,
  title={Statistical language modeling using a variable context length},
  author={Reinhard Kneser},
  booktitle={ICSLP},
  year={1996}
}
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 on this measure. Further we address the question how the use of a special backing-o distribution can improve the language models… CONTINUE READING

4 Figures & Tables

Topics

Statistics

0510'97'99'01'03'05'07'09'11'13'15'17
Citations per Year

80 Citations

Semantic Scholar estimates that this publication has 80 citations based on the available data.

See our FAQ for additional information.