K-BEST PART-OF-SPEECH TAGGING APPARATUS AND METHOD BASED ON STATISTICS

摘要

PURPOSE: A K-best part-of-speech tagging apparatus and method based on a statistics is provided, which performs a part-of-speech tagging using a state-based part-of-speech tagging. CONSTITUTION: The K-best part-of-speech tagging apparatus comprises: a state-based part-of-speech tag (100) for performing a part-of-speech tagging using an instant optimum reference to each character in a phrase; a path-based part-of-speech tag (102) for performing a part-of-speech tagging using a Viterbi algorithm according to a global optimum reference to each character in a phrase; and a post-processing unit (104) for combining the part-of-speech tagging result of the state-based part-of-speech tag (100) and the part-of-speech tagging result of the path-based part-of-speech tag (102). Thereby, it is possible to decrease the cost and effort required to the construction of a part-of-speech tagging rule.