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영ㆍ한 음차 표기 성능 향상을 위한 음철법 기반 규칙 구축

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dc.contributor.author김민정-
dc.contributor.author홍금원-
dc.contributor.author박소영-
dc.contributor.author임해창-
dc.date.accessioned2021-09-08T23:38:55Z-
dc.date.available2021-09-08T23:38:55Z-
dc.date.created2021-06-17-
dc.date.issued2009-
dc.identifier.issn2005-8063-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/121640-
dc.description.abstractThis paper presents a method for constructing and using transliteration rules which are based on Phonics, an instructional method for speaking and writing English letters. Conventional approaches to automatic transliteration often focused on statistical methods. However, the construction or the collection of correct transliteration examples is always the bottleneck of the statistical transliteration model. Also, in practical domains where the collection of such data is very difficult, such as education and tourism, it is reasonable to build a system without much qualified data. Furthermore, compared with Korean orthography of borrowed foreign words, the proposed approach is much easier to construct, and can generate more refined rules. The experimentation result shows that the proposed approach can improve the performance of a statistical-based transliteration system.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국음성학회-
dc.title영ㆍ한 음차 표기 성능 향상을 위한 음철법 기반 규칙 구축-
dc.title.alternativePhonics-based Rules for Improving Performance of English-to-Korean Transliteration-
dc.typeArticle-
dc.contributor.affiliatedAuthor임해창-
dc.identifier.bibliographicCitation말소리와 음성과학, v.1, no.4, pp.133 - 144-
dc.relation.isPartOf말소리와 음성과학-
dc.citation.title말소리와 음성과학-
dc.citation.volume1-
dc.citation.number4-
dc.citation.startPage133-
dc.citation.endPage144-
dc.type.rimsART-
dc.identifier.kciidART001398430-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorphonics-
dc.subject.keywordAuthorrule-based transliteration system-
dc.subject.keywordAuthortransliteration-
dc.subject.keywordAuthorphonics-
dc.subject.keywordAuthorrule-based transliteration system-
dc.subject.keywordAuthortransliteration-
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