Automatic korean phoneme generation via input-text preprocessing and disambiguation

Authors:
Mi-young Kang;Sung-won Jung;Hyuk-chul Kwon;Aesun Yoon
Affiliations:
Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University;Korean Language Processing Laboratory, Research Institute of Computer Information and Communication, Pusan National University
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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Abstract

This paper proposes an Automatic Korean Phoneme Generator (AKPG) that can be adapted to various natural language processing systems that handle raw input-text from users such as the Korean pronunciation education system Resolving noise and ambiguity is a precondition for correct natural language processing In order to satisfy this condition, the AKPG, as a module of an NLP system, combines linguistic and IR methods Preprocessing modules are incorporated into the AKPG to handle spelling-errors that render correct phoneme generation impossible In addition, the preprocessing modules convert alphanumeric symbols into Korean characters Finally, in order to remove part-of-speech (POS) ambiguities and those of homographs with the same POS, homograph collocations are collected from a large corpus using the IR method In addition, those homographs are integrated into dependency rules for partial parsing.