Song Lyrics Adaptations: Computational Interpretation of the Pentathlon Principle

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511680" target="_blank" >RIV/00216208:11320/25:10511680 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.nlp4dh-1.11/" target="_blank" >https://aclanthology.org/2025.nlp4dh-1.11/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Song Lyrics Adaptations: Computational Interpretation of the Pentathlon Principle

Original language description

Songs are an integral part of human culture, and they often resonate the most when we can sing them in our native language. However, translating song lyrics presents a unique challenge: maintaining singability, naturalness, and semantic fidelity. In this work, we computationally interpret Low&apos;s Pentathlon Principle of singable translations to be able to properly measure the quality of adapted lyrics, breaking it down into five measurable metrics that reflect the key aspects of singable translations. Building on this foundation, we introduce a text-to-text song lyrics translation system based on generative large language models, designed to meet the Pentathlon Principle&apos;s criteria, without relying on melodies or bilingual training data.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TQ01000153" target="_blank" >TQ01000153: Generating Czech poetry in an educative and multimedia environment</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities

ISBN

979-8-89176-234-3

ISSN

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e-ISSN

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Number of pages

12

Pages from-to

117-128

Publisher name

Association for Computational Linguistics

Place of publication

Kerrville, TX, USA

Event location

Albuquerque, NM, USA

Event date

May 3, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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