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Random Clusterings for Language Modeling
ICASSP '05). IEEE International Conference, (2005): 581-584
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In this paper we present an application of randomization techniques to class-based n-gram language models. The idea is to derive a language model from the combination of a set of random class-based models. Each of the constituent random class-based models is built using a separate clustering obtained via a different run of a randomized cl...More
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