sentence1: significance-based n-gram selection not only reduces language model size , but it also improves perplexity when applied to a number of widely-used smoothing methods , including katz backoff and several variants of absolute discounting .
sentence2: we introduce significance-based n-gram selection , which not only reduces model size , but also improves perplexity for several smoothing methods , including katz back-off and absolute discounting .