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Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

The recent availability of large corpora for training N-gram language models has shown the utility of models of higher or- der than just trigrams. In this paper, we investigate methods …...

44405

Language Modeling with Power Low Rank Ensembles

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

We present power low rank ensembles (PLRE), a flexible framework for n-gram language modeling where ensembles of low rank matrices and tensors are used to obtain smoothed probability estimates of …...

34415