Korean Word Sense Disambiguation using Parallel Corpus as Additional Resource
- Korean Word Sense Disambiguation using Parallel Corpus as Additional Resource
- CHUNGEN, LI
- Date Issued
- Most previous research on Korean Word Sense Disambiguation (WSD) were focusing on unsupervised corpus-based or knowledge-based approach because they suffered from lack of sense-tagged Korean corpora.
Recently, along with great effort of constructing sense-tagged Korean corpus by government and researchers, finding appropriate features for supervised learning approach and improving its prediction accuracy became an issue.
To achieve higher word-sense prediction accuracy, this paper aimed to find most appropriate features for Korean WSD based on Conditional Random Field (CRF) approach.
Also, we utilized Korean-Japanese parallel corpus to enlarge size of sense-tagged corpus, and improved prediction accuracy with it.
Experimental result reveals that our method can achieve 95.67\% of prediction accuracy.
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