Open AccessNoun Sense Identification of Korean Nominal Compounds Based on Sentential Form Recovery
Author(s) -
Yang Seong Il,
Seo Young Ae,
Kim Young Kil,
Ra Dongyul
Publication year - 2010
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.10.1510.0083
Subject(s) - predicative expression , noun , natural language processing , computer science , artificial intelligence , proper noun , machine translation , literal translation , identification (biology) , predicate (mathematical logic) , context (archaeology) , word sense disambiguation , linguistics , source text , wordnet , paleontology , philosophy , botany , biology , programming language
In a machine translation system, word sense disambiguation has an essential role in the proper translation of words when the target word can be translated differently depending on the context. Previous research on sense identification has mostly focused on adjacent words as context information. Therefore, in the case of nominal compounds, sense tagging of unit nouns mainly depended on other nouns surrounding the target word. In this paper, we present a practical method for the sense tagging of Korean unit nouns in a nominal compound. To overcome the weakness of traditional methods regarding the data sparseness problem, the proposed method adopts complement‐predicate relation knowledge that was constructed for machine translation systems. Our method is based on a sentential form recovery technique, which recognizes grammatical relationships between unit nouns. This technique makes use of the characteristics of Korean predicative nouns. To show that our method is effective on text in general domains, the experiments were performed on a test set randomly extracted from article titles in various newspaper sections.