Centrala begrepp
Multilingual Language Models (MLLMs) can be fine-tuned to significantly improve machine translation for low-resource languages.
Sammanfattning
This article introduces adaptMLLM, an open-source application that streamlines the fine-tuning process of MLLMs for machine translation. It focuses on improving translation performance for low-resource languages like English to Irish and English to Marathi. The application offers easy customization of hyperparameters, model evaluation metrics, and deployment capabilities. Results show significant improvements in translation quality compared to baseline models.
Statistik
EN → GA direction: 5.2 BLEU point improvement, 14% relative improvement
GA → EN direction: 40.5 BLEU point improvement, 117% relative improvement
MR → EN direction: 21.3 BLEU point improvement, 68% relative improvement
Citat
"The adaptMLLM system demonstrated significant improvements in machine translation for low-resource languages."
"Results show a relative improvement of 117% in translation performance for the GA → EN direction."