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.

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Challenge: Song translation requires both translation of lyrics and alignment of music notes . human translators of songs need to have a mastery of cultural traditions and the poetic usage of both source and target languages .
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Songs Across Borders: Singable and Controllable Neural Lyric Translation (2023.acl-long)

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Challenge: Obtaining singable lyric translations can facilitate the globalization of the music publishing industry .
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A Melody-Conditioned Lyrics Language Model (N18-1)

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Challenge: Existing models for lyrics generation are insufficient to capture relationship between lyrics and melody.
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Challenge: Existing studies on lyrics translation have relied on fine-tuning open-source language models.
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Challenge: Existing song translation approaches prioritize singability constraints at the expense of translation quality, which is crucial for musicals.
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Unsupervised Melody-to-Lyrics Generation (2023.acl-long)

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Challenge: Existing methods for automatic melody-to-lyric generation are limited due to the limited amount of melody-lyrical aligned data.
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Challenge: Pre-trained language models specifically designed at the syllable level are not available.
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Scansion-based Lyrics Generation (2024.lrec-main)

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Challenge: a new method for generating lyrics for Mandarin songs is based on scansion . the number of syllables required is variable due to the number and number of notes .
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Automatic Song Translation for Tonal Languages (2022.findings-acl)

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Challenge: Existing automatic song translation systems for tonal languages do not match the number of notes and beat the original rhythm of the song.
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Challenge: Existing methods of generating singable lyrics are based on a given melody, but there are two main challenges: generating the lyrics without knowing the melody and composing compatible melodies.
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