Multi-level post-processing for Korean character recognition using morphological analysis and linguistic evaluation

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dc.creatorLee, Geunbae
dc.creatorLee, Jong-Hyeok
dc.creatorYoo, JinHee
dc.date1996-04-24
dc.date.accessioned2026-07-07T09:10:10Z
dc.date.available2026-07-07T09:10:10Z
dc.descriptionMost of the post-processing methods for character recognition rely on contextual information of character and word-fragment levels. However, due to linguistic characteristics of Korean, such low-level information alone is not sufficient for high-quality character-recognition applications, and we need much higher-level contextual information to improve the recognition results. This paper presents a domain independent post-processing technique that utilizes multi-level morphological, syntactic, and semantic information as well as character-level information. The proposed post-processing system performs three-level processing: candidate character-set selection, candidate eojeol (Korean word) generation through morphological analysis, and final single eojeol-sequence selection by linguistic evaluation. All the required linguistic information and probabilities are automatically acquired from a statistical corpus analysis. Experimental results demonstrate the effectiveness of our method, yielding error correction rate of 80.46%, and improved recognition rate of 95.53% from before-post-processing rate 71.2% for single best-solution selection.
dc.descriptionlatex with a4, epsfig style, 21 pages, 11 postscript figures, accepted in pattern recognition journal
dc.identifierhttps://arxiv.org/abs/cmp-lg/9604011
dc.identifierhttp://arxiv.org/abs/cmp-lg/9604011
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151277
dc.subjectComputation and Language
dc.titleMulti-level post-processing for Korean character recognition using morphological analysis and linguistic evaluation
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