Patent Document ID: 7707027
Application ID: 11279577

Base Claim:
1. A method for generating a natural language statistical model comprising: receiving, at at least one system comprising a combination of hardware and software, a set of training data comprising unigrams identified as being individually meaningless; assigning, via the at least one system, at least a portion of the unigrams identified as being meaningless to a first n-gram class selected from a plurality of n-gram classes; and processing the classified training data via the at least one system to generate the natural language statistical model.

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Claim 4:
4. The method according to claim 1 , further comprising: identifying bigrams that are entirely composed of meaningless unigrams; determining whether the identified bigrams are individually meaningless; and assigning at least a portion of the bigrams identified as being individually meaningless to the first n-gram class.