Title :
Semantic Feature-Based Korean Classifier Module for MT Systems
Author :
Hwang, Soonhee ; Yoon, Aesun ; Kwon, Hyuk-Chul
Abstract :
In this paper we propose a Korean numeral classifier system (KCL-SYS), a sub-module for generating the relation(s) between a Korean numeral classifier and its co-occurring noun(s), using semantic features and the LUB (Least Upper Bound) based on semantic hierarchies extracted from KorLex1Noun 1.5, to be applied to preprocessing in MT (MachineTranslation) systems. The ratio of recall in matching classifier-noun(s) was 79.51%, and the precision was 99.52%.
Keywords :
Computer science; Data mining; Information technology; Natural languages; Ontologies; Testing; Thesauri; Upper bound; Korean numeral classifier systemClassifier moduleSemantic featureWordNetKorLex;
Conference_Titel :
Advanced Language Processing and Web Information Technology, 2007. ALPIT 2007. Sixth International Conference on
Conference_Location :
Luoyang, Henan, China
Print_ISBN :
978-0-7695-2930-1
DOI :
10.1109/ALPIT.2007.51
