1. A method of processing text within a natural language understanding system, the method comprising: via a processor, applying a first tokenization technique to a sentence using a statistical tokenization model; via the processor, applying a second subsequent tokenization technique to the sentence using a named entity only when the first tokenization technique does not extract a needed token according to a class of the sentence; and via the processor, outputting a token determined according to at least one of the tokenization techniques.
2. The method of claim 1 , further comprising, via the processor, first determining the class for the sentence using a statistical classification model.