Resolving ambiguous segmentation of Korean compound nouns using statistics and rules

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

doi:10.1111/0824-7935.00086

Resolving ambiguous segmentation of Korean compound nouns using statistics and rules

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

* Honorary professors

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	101-113
Number of pages	13
Journal	Unknown Journal
Volume	15
Issue number	2
DOIs	https://doi.org/10.1111/0824-7935.00086
Publication status	Published - 1999 May

ASJC Scopus subject areas

Computational Mathematics
Artificial Intelligence

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10.1111/0824-7935.00086

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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.",

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Resolving ambiguous segmentation of Korean compound nouns using statistics and rules

Abstract

ASJC Scopus subject areas

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