Speaker’s intention prediction modules can be widely used as a pre-processor for reducing the search space of an automatic speech recognizer. They also can be used as a preprocessor for generating a proper sentence in a dialogue system. We propose a statistical model to predict speakers’ intentions by using multi-level features. Using the multi-level features (morpheme-level features, discourselevel features, and domain knowledge-level features), the proposed model predicts speakers’ intentions that may be implicated in next utterances. .
