Fast exact maximum likelihood estimation for mixture of language model

@article{Zhang2008FastEM,
  title={Fast exact maximum likelihood estimation for mixture of language model},
  author={Yi Zhang and Wei Xu},
  journal={Inf. Process. Manag.},
  year={2008},
  volume={44},
  pages={1076-1085}
}
  • Yi Zhang, Wei Xu
  • Published in Inf. Process. Manag. 2008
  • Computer Science
  • Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language model of a given document (or document set), and then do retrieval or classification based on this model. A common language modeling approach assumes the data D is generated from a mixture of several language models. The core problem is to find the maximum likelihood estimation of one language model mixture, given the… CONTINUE READING

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