arXiv Computation and Language By Chalamalasetti Kranti, Sowmya Vajjala

Translating Classical Poetry into Modern Prose

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The paper introduces Padyam2Gadyam, a dataset of 600 13th‑17th Century Telugu poems paired with human‑verified Telugu and English prose translations. It evaluates two traditional machine translation systems and five large language models on zero‑shot poem‑to‑prose translation, finding that general‑purpose LLMs outperform the MT systems but still exhibit systematic issues in generating and evaluating prose translations.

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arXiv Computation and Language
Sep 7

Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs

The paper presents a corpus of 1,262 Classical Tamil verse‑commentary pairs and evaluates several neural representation learning models—including recurrent, Transformer, Siamese, mBART‑style encoder‑decoder, and decoder‑only language models—against a TF‑IDF baseline. Experiments reveal limited gains: token‑F1 scores range from 0.02 to 0.20, the encoder‑decoder continues to lower training loss even after validation loss rises, and the decoder‑only model only reproduces authentic word order in 95.5% of minimal‑pair tests but fails to generate held‑out commentary content. The authors release the extraction and evaluation protocol while noting that redistribution of the source commentaries requires permission.

By Amrit Gopinath, Sangeetha Sivanesan