Detection of Language (Model) Errors

Abstract

The bigram language models are popular, in much language processing applications, in both Indo-European and Asian languages. However, when the language model for Chinese is applied in a novel domain, the accuracy is reduced significantly, from 96% to 78% in our evaluation. We apply pattern recognition techniques (i.e. Bayesian, decision tree and neural… (More)

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