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A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing
In an extensive empirical experiment over English text corpora we demonstrate that our generalized language models lead to a substantial reduction of perplexity between 3. 1% and 12. 7% in comparison to traditional language models using modified Kneser-Ney smoothing.
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