Abstract
The paper describes the newly improved Korean morpheme analysis module KorMa 2003. This new module applies the custom user dictionary for analyzing new and unknown words and special terms and operates an automatic word spacing module during post-processing to prevent failures of sentence analysis due to incorrect spacing between words. KorMa 2003 has accuracy enhanced by 15% in comparison with the previously reported version.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the Chung-Ang University HNRC-ITRC (Home Network Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
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Choi, Hc., Han, Sy. (2005). Korma 2003: Newly Improved Korean Morpheme Analysis Module for Reducing Terminological and Spacing Errors in Document Analysis . In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_19
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DOI: https://doi.org/10.1007/978-3-540-30586-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
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