Papers by Dasaem Jeong
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling (2024.lrec-main)
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| Challenge: | lyric translation studies have focused on Western genres and languages, with no previous study centering on K-pop despite its popularity. |
| Approach: | They propose a singable lyric translation dataset that aligns Korean and English lyrics line-by-line and section-by section. |
| Outcome: | The proposed dataset reveals unique characteristics of K-pop lyric translation, distinguishing it from other extensively studied genres, and constructs a neural lyrical translation model. |