Recognition Algorithm for Korean Postpositions by Detecting Prosody Boundaries

In this paper we proposes the algorithm of recognizing postpositions and suffixes in Korean spoken language, using prosodic information. At first, we detect grammatical boundaries automatically by using prosodic information of the accentual phrase, and then we recognize grammatical function words by backward tracking from the boundaries. The experiment employs 300 sentential speech data of 10 men's and 5 women's voice spoken in standard Korean, in which 1080 APs and eleven postpositions and suffixes are included. The result shows the recognition rate of postpositions in two cases. In one case that includes just correctly detected boundaries, the recognition rate is 97.5%, and in the other case that includes all detected boundaries, the recognition rate is 74.8%.