NDLI: Syntactic and semantic English-Korean Machine Translation using ontology

Content Provider	IEEE Xplore Digital Library
Author	Eugene Seo Il-Sun Song Su-Kyung Kim Ho-Jin Choi
Copyright Year	2009
Description	Author affiliation: School of Engineering, Information and Communications University, Korea (Eugene Seo; Il-Sun Song; Su-Kyung Kim; Ho-Jin Choi)
Abstract	This paper presents the syntactic and semantic method for English-Korean Machine Translation (MT) using ontology for Web-based MT system. We first build word class ontology from the English corpus and calculate the weight of relation between words in the same or different ontologies by counting the frequency of co-occurrence. With our constructed ontologies, we introduce the MT system model including the syntactic and semantic translation module. Each module translates the source language in different way. The syntactic translation module transforms the structure of English into Korean structure. The semantic translation module extracts an exact meaning of a word using ontologies. Through the both translation modules the source language is naturally translated into a target language.
Starting Page	2129
Ending Page	2132
File Size	2295046
Page Count	4
File Format	PDF
ISBN	9788955191387
ISSN	17389445
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-15
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Electronics and Telecommunications Research Institute
Subject Keyword	Ontologies Natural languages Search engines Web pages Frequency Machine learning Portals Dictionaries Globalization Natural language processing Machine Learning Machine Translation Natural Language Process Ontology
Content Type	Text
Resource Type	Article

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