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In this paper we describe our work on generating in-domain corpus using auto-induced semantic classes and structures for language model adaptation in a voice search dialogue system. We proposed a novel similarity measure based on co-occurrence probabilities for inducing semantic classes. Clustering with the new similarity measure outperformed that with the widely used distance measure based on Kullback-Leibler...
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