An analysis of the domain Korean traffic news based on its corpus
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Abstract
Much research on a restricted domain has been carried out in the field of machine translation and corpus linguistics. The purpose of this paper lies in analyzing the domain Korean traffic news on the basis of the corpus of the domain. It first explains the construction of the corpus and its contents. Many expressions describing diverse traffic situations are presented. The characteristics of sentences occurring in the domain are discussed together with types of sentence that are classified by the meaning components. In addition, the paper shows how the lexical ambiguity is reduced in the domain. The discussion on the classification of several types of sentence and the reduction of multiple meanings of words is made based on the quantitative analysis of the real data obtained from the domain. Furthermore, the paper explains how the analysis of the domain is useful in implementing several modules of a machine translation system that can translate the domain into English.
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