Resolving ambiguous segmentation of Korean compound nouns using statistics and rules

B. O.Hyun Yun, Yong Jae Kwak, Hae Chang Rim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A new method for Korean Compound Noun Segmentation is introduced and used to enhance the performance of an information retrieval system. This method indicates that compound nouns are first segmented by using a dictionary and structure patterns. If they are ambiguously segmented, the ambiguities are resolved by using statistical information and a preference rule. By using three kinds of heuristics, compound nouns with unknown unit nouns are segmented.

Original languageEnglish
Pages (from-to)101-113
Number of pages13
JournalUnknown Journal
Volume15
Issue number2
DOIs
Publication statusPublished - 1999 May

ASJC Scopus subject areas

  • Computational Mathematics
  • Artificial Intelligence

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