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A Hybrid Approach to Adaptive Statistical Language Modeling

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Figure 1: Count-basedcache information: Probabilityof'DE- FAULT' as a function of the number of times it already oc- curred in the document
Table 1: Perplexity (PP) improvement of Maximum Entropy and interpolated adaptive models over a conventional trigram model, for varying amounts of training data
Table 2: Word error rate reduction of adaptive language mod- els over a conventional trigram model
Table 3: Perplexity improvement of Maximum Entropy and interpolated ad_~ptive models, for both eross-domain and fimited-data adaptation, testing on 420KW of unseen AP wire

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