Semantic clustering for adaptive language modeling

  title={Semantic clustering for adaptive language modeling},
  author={Reinhard Kneser and Jochen Peters},
In this paper we present e cient clustering algorithms for two novel class-based approaches to adaptive language modeling. In contrast to bigram and trigram class models, the proposed classes are related to the distribution and co-occurrence of words within complete text units and are thus mostly of a semantic nature. We introduce adaptation techniques such… CONTINUE READING