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of the First Workshop on Style in GenAI-Translated Content (StyGenAI)

This study investigates stylistic features in English–Italian machine translation by comparing the outputs of Google Translate and ChatGPT-5.2, and shows that the two systems seem to adopt similar translation solutions, but they differ in the quantitative distribution of translation equivalents.

Natália Resende, Sheila Castilho, Maria Clara Menezes et al. · 0 citations
Preprint Aug 2026

Padamitra: Grounded Glossary Generation for Classical Sanskrit

We introduce grounded glossary generation, a structured task requiring models to recover semantically meaningful Sanskrit phrases and produce translation-grounded meanings from a sloka-translation pair, formalizing the traditional patha commentary practice as an evaluable NLP objective. We construct a benchmark of 31,3...

Manoj Balaji Jagadeeshan, Sai Pragnaan Marala, Pawan Goyal · 0 citations
2026

MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer

MekongPhon is presented, a large-scale, high-quality parallel IPA corpus for Lao and Khmer, and linguistically informed Lao and Khmer transliteration tools that offer high-speed IPA conversion, outperforming Epitran by 6-71 CER points.

Ammon Shurtz, Chris Richardson, Stephen D. Richardson · 0 citations
2026

AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments

This work introduces the first-of-its-kind English-Assamese parallel corpus for the translation of Indian court judgments and performs a comprehensive evaluation of state-of-the-art multilingual models in both zero-shot and fine-tuned settings, comparing their performance against commercial systems.

Telem Joyson Singh, Hemanta Baruah, Sanasam Ranbir Singh et al. · 1 citation

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