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영어

An increasing number of English loanwords in Korean texts are one of the heavy obstacles to the automatic analysis of Korean texts due to the absence of these words in existing electronic lexicons. This study aims at proposing a semantic classification of 2,300 English loanwords that we selected from Korean Electronic Loanword Dictionary DECO-ZNF(Nam, 2010). The principle used in the semantic classification of Korean common nouns DSeC-N has been adopted in this study as well. On the basis of our results, we expect to predict in what semantic domains we should expand loanword entries: loanwords in semantic classes of new products, food, and art appear more important in number. The experiment presented at the end of the paper shows that a corpus of cosmetic products contains English loanwords much more than that of political news. Note that unless we expand the loanword entries related to this domain, the performance of automatic analysis will be far from being satisfying