Minimizing human intervention for constructing Korean part-of-speech tagged corpus

Do Gil Lee, Gumwon Hong, Seok Kee Lee, Hae-Chang Rim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The construction of annotated corpora requires considerable manual effort. This paper presents a pragmatic method to minimize human intervention for the construction of Korean part-of-speech (POS) tagged corpus. Instead of focusing on improving the performance of conventional automatic POS taggers, we devise a discriminative POS tagger which can selectively produce either a single analysis or multiple analyses based on the tagging reliability. The proposed approach uses two decision rules to judge the tagging reliability. Experimental results show that the proposed approach can effectively control the quality of corpus and the amount of manual annotation by the threshold value of the rule.

Original languageEnglish
Pages (from-to)2336-2338
Number of pages3
JournalIEICE Transactions on Information and Systems
VolumeE93-D
Issue number8
DOIs
Publication statusPublished - 2010 Aug 1

Keywords

  • Morphological analysis
  • Part-of-speech tagging
  • Part-ofspeech tagged corpus

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

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