Abstract: An apparatus and method for efficiently constructing learning data required in statistical methodology used in information retrieval, information extraction, translation, natural language processing, etc. are provided. The method includes the steps of: generating learning models by performing machine learning with respect to learning data; attaching tags to a raw corpus automatically by using the generated learning models to thereby generate learning data candidates; calculating confidence scores of the generated learning data candidates, and then selecting a learning data candidate using the confidence scores; and allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally.

Abstract: Disclosed is a method for processing multimedia data at a mobile communication terminal having at least one sub processor besides a main processor, including the steps of analyzing information of multimedia data to be processed at the main processor, selecting a processor at the main processor for processing the multimedia data according to analyzed result of the information, calling codec needed for the data processing at the selected processor, and processing the multimedia data at the selected processor by using the called codec.