Paper: Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part**of-Speech Tagging

ACL ID P98-2167
Title Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part**of-Speech Tagging
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

Statistical methods require very large corpus with high quality. But building large and fault- less annotated corpus is a very difficult job. This paper proposes an efficient method to con- struct part-of-speech tagged corpus. A rule- based error correction method is proposed to find and correct errors semi-automatically by user-defined rules. We also make use of user's correction log to reflect feedback. Experiments were carried out to show the efficiency of error correction process of this workbench. The re- sult shows that about 63.2 % of tagging errors can be corrected.