DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 남주한 | - |
dc.contributor.author | Kim, Haven | - |
dc.contributor.author | 김헤이븐 | - |
dc.date.accessioned | 2024-07-25T19:30:54Z | - |
dc.date.available | 2024-07-25T19:30:54Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045764&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320576 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2023.8,[iii, 27 p. :] | - |
dc.description.abstract | Lyric translation plays a pivotal role in amplifying the global resonance of music, bridging cultural divides, and fostering universal connections. Translating lyrics, unlike conventional translation tasks, requires a delicate balance between singability and semantics. In this paper, I present a computational framework for the quantitative evaluation of singable lyric translation, which seamlessly integrates musical, linguistic, and cultural dimensions of lyrics. Our comprehensive framework consists of four metrics that measure syllable count distance, phoneme repetition similarity, musical structure distance, and semantic similarity. To substantiate the efficacy of our framework, I collected a singable lyrics dataset, which precisely aligns English, Japanese, and Korean lyrics on a line-by-line and section-by-section basis, and conducted a comparative analysis between singable and non-singable lyrics. Our multidisciplinary approach provides insights into the key components that underlie the art of lyric translation and establishes a solid groundwork for the future of computational lyric translation assessment. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 가사 정보 처리▼a평가 지표▼a가사 번역 | - |
dc.subject | Lyrics information processing▼aEvaluation metric▼aLyric translation | - |
dc.title | (A) computational evaluation framework for singable lyric translation | - |
dc.title.alternative | 노래 가능한 가사 번역을 위한 자동 평가 프레임워크 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :문화기술대학원, | - |
dc.contributor.alternativeauthor | Nam, Juhan | - |
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