지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 121 - 136 (16page)
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Along with the advancement of speech recognition technology and machine translation technology in addition to the fast distribution of mobile devices, automatic speech translation technology no longer remains as a subject of research as it has become popularized throughout many users. The goal of this paper is to describe the method of hybrid machine translation based on common transfer for multilingual speech and machine translation. As of 2012, there are different bilingual machine translation systems such as Korean-to-English, English-to-Korean, Korean-to-Japanese, Japanese-to-Korean, Korean-to-Chinese, and Chinese-to-Korean machine translation systems in Korea. An increase in the number of tourists is expected due to the fact that the Winter Olympic Games will be held in Korea in 2018. Budget problem prevents us from employing a sufficient number of human interpreters who can fluently interpret such languages as Spanish, French, German, and Russian. For this reason, consumers such as the Korea Tourism Organization and speech translation service providers demand a multilingual speech and machine translation system. We are developing a multilingual speech and machine translation system aiming for multilingual expansibility and high-quality translation accuracy.
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