2 papers
cs.CL2026
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation
Surangika Ranathungaa, Shravan Nayak, Shih-Ting Cindy Huang +6
Neural Machine Translation (NMT) systems built on multilingual sequence-to-sequence Language Models (msLMs) fail to deliver expected results when the amount of parallel data for a…
cs.CL2025
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation
Sarubi Thillainathan, Songchen Yuan, En-Shiun Annie Lee +2
Fine-tuning multilingual sequence-to-sequence large language models (msLLMs) has shown promise in developing neural machine translation (NMT) systems for low-resource languages (LR…