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

ACL ID C98-2162
Title Machine Aided Error-Correction Environment for Korean Morphological Analysis and Part-of-Speech Tagging
Venue International Conference on 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.