The present invention can rapidly and highly accurately represent and learn natural language by comprising: a natural language analysis step for dividing natural language into basic units; a part-of-speech information generation step for generating part-of-speech information corresponding to basic units; a meaning abstraction step for generating higher-level concept information comprising the basic units; and natural language representation step for processing the natural language using the part-of-speech information and higher-level concept information.
NATURAL LANGUAGE REPRESENTATION METHOD AND COMPUTER PROGRAM STORED IN MEDIUM TO EXECUTE SAME