Semantic Feature-Based Korean Classifier Module for MT Systems

Hwang, Soonhee; Yoon, Ae-Sun; Kwon, Hyuk‐Chul

doi:10.1109/alpit.2007.51

Cited by 1 publication

(1 citation statement)

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“…Therefore, based on the semantic recategorization of Korean numeral classifiers and the assignment of semantic classes corresponding to classifiers through our previous studies, an algorithm was developed to generate the relations between a classifier and its co-occurring nouns or noun classes. Our KCL-M provides specific classifiers with nouns that are entered as input and vice versa (Hwang et al 2007). In the current module, the relation of the mensural-CLs to their co-occurring nouns is not reflected, and several common nouns used as classifiers must be analyzed individually and added to our module.…”

Section: Evaluation and Discussionmentioning

confidence: 99%

Semantic representation of Korean numeral classifier and its ontology building for HLT applications

Hwang

Yoon

Kwon

2007

Lang Resources & Evaluation

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The complexity of Korean numeral classifiers demands semantic as well as computational approaches that employ natural language processing (NLP) techniques. The classifier is a universal linguistic device, having the two functions of quantifying and classifying nouns in noun phrase constructions. Many linguistic studies have focused on the fact that numeral classifiers afford decisive clues to categorizing nouns. However, few studies have dealt with the semantic categorization of classifiers and their semantic relations to the nouns they quantify and categorize in building ontologies. In this article, we propose the semantic recategorization of the Korean numeral classifiers in the context of classifier ontology based on large corpora and KorLex Noun 1.5 (Korean wordnet; Korean Lexical Semantic Network), considering its high applicability in the NLP domain. In particular, the classifier can be effectively used to predict the semantic characteristics of nouns and to process them appropriately in NLP. The major challenge is to make such semantic classification and the attendant NLP techniques efficient. Accordingly, a Korean numeral classifier ontology (KorLexClas 1.0), including semantic hierarchies and relations to nouns, was constructed.

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Section: Evaluation and Discussionmentioning

confidence: 99%