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» Distribution-Based Pruning of Backoff Language Models
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ACL
2000
14 years 5 days ago
Distribution-Based Pruning of Backoff Language Models
We propose a distribution-based pruning of n-gram backoff language models. Instead of the conventional approach of pruning n-grams that are infrequent in training data, we prune n...
Jianfeng Gao, Kai-Fu Lee
EMNLP
2009
13 years 8 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk