Rational interpolation of maximum likelihood predictors in stochastic language modeling

@inproceedings{SchukatTalamazzini1997RationalIO,
  title={Rational interpolation of maximum likelihood predictors in stochastic language modeling},
  author={Ernst G{\"u}nter Schukat-Talamazzini and Florian Gallwitz and Stefan Harbeck and Volker Warnke},
  booktitle={EUROSPEECH},
  year={1997}
}
In our paper, we address the problem of estimating stochastic language models based on n-gram statistics. We present a novel approach, rational interpolation, for the combination of a competing set of conditional n-gram word probability predictors, which consistently outper-forms the traditional linear interpolation scheme. The superiority of rational interpolation is substantiated by experimental results from language modeling, speech recognition , dialog act classiication, and language… CONTINUE READING