Papers with neural network LM

1 papers
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models (N19-1)

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Challenge: a technique that uses large corpus n-gram statistics as a regularizer for training a neural network LM on a smaller corpus is effective, and more time-efficient than training on ngrams.
Approach: They propose a technique that uses large corpus n-gram statistics as a regularizer for training on a smaller corpus.
Outcome: The proposed technique is effective and more time-efficient than training on a larger corpus.

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