Statistical language model adaptation based on N-gram distribution;

Unlike the case of traditional text classification models, the approach based on character level n-gram modeling avoids word segmentation and explicit feature selection procedures that tends to lose significant amount of useful information.

This paper use a method which combines phoneme-match and n-gram model, to understand the voice commands.

Therefore, centering on technologies and methods of the automatic indexing as well as taking text information indexing as an object of study, this paper discussed the new combined method of automatic indexing for text information based on N-gram analysis and word frequency statistic by combining comparative analysis method with experimental analysis method.