Translating Classical Poetry into Modern Prose
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Abstract (arXiv)
We built a dataset for the task of poem-to-prose translation from 13th-17th Century Telugu classical poetry to contemporary Telugu and English prose, which we call Padyam2Gadyam. The dataset consists of 600 poems and their human-verified Telugu and English prose translations. We evaluated 2 machine translation systems and 5 contemporary Large Language Models (LLMs) on their ability to do zero-shot poem-to-prose translation into Telugu and English using this dataset. Our results indicate that while the general purpose LLMs are better than the machine translation systems, there are systematic issues with the generation and evaluation of prose translation in both languages across systems.
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References · 15
- 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
- 2023Large Language Models Are State-of-the-Art Evaluators of Translation Qualitycited by 420
- 2022CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Taskcited by 207
- 2023IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languagescited by 152
- 2021Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languagescited by 136
- 2024Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuraciescited by 40
- 2018Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhymecited by 35
- 2024Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasetscited by 18
- 2021Don't Go Far Off: An Empirical Study on Neural Poetry Translationcited by 15
- 2024What is the Best Way for ChatGPT to Translate Poetry?cited by 14
- 2021Prose2Poem: The Blessing of Transformers in Translating Prose to Persian Poetrycited by 7
- 2018How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networkscited by 6
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