Exploring Asymmetric Clustering for Statistical Language Modeling

@inproceedings{Gao2002ExploringAC,
  title={Exploring Asymmetric Clustering for Statistical Language Modeling},
  author={Jianfeng Gao and Joshua Goodman and Guihong Cao and Hang Li},
  booktitle={ACL},
  year={2002}
}
The n-gram model is a stochastic model, which predicts the next word (predicted word) given the previous words (conditional words) in a word sequence. The cluster n-gram model is a variant of the n-gram model in which similar words are classified in the same cluster. It has been demonstrated that using different clusters for predicted and conditional words leads to cluster models that are superior to classical cluster models which use the same clusters for both words. This is the basis of the… CONTINUE READING
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