Researchers at the University of Yaoundé I and the University of Buea implemented an embedding initialization strategy for unseen low-resource languages in multilingual neural machine translation, tes…
Researchers propose a corpus-driven vocabulary pruning framework for multilingual neural machine translation, reducing vocabulary from over 128,000 to approximately 10,000 tokens and achieving a 60% m…
A new arXiv study evaluating local LLM machine translation finds that dedicated MT systems from OPUS-MT and NLLB-200 remain stronger overall than three instruction-tuned LLMs (llama3.2:3b, mistral:lat…
Researchers released a benchmark for Arabic-Russian scientific translation, including a 27,000-sentence parallel corpus and fine-tuned multilingual models. The Qwen2.5-7B model achieved BLEU 23.15, ou…
Researchers from IIIT-BGP presented low-resource Bhojpuri-Hindi speech translation systems at IWSLT 2026, including an end-to-end model combining Wav2Vec2 and NLLB-200 with a lightweight adapter, and …