the performance of traditional speech recognition systems decreases significantly with , larger domain size , scarce training data as well as under noisy environmental conditions . this invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language . the predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups . the features used by the classifier can be syntactic , semantic , and statistical .