Guide to Neural Machine Translation for Low-Resource Languages
Building a Neural Machine Translation system for low-resource languages like Dongxiang requires more than just raw data. Senior developer Ahmad Wael explains how to fine-tune Meta’s NLLB-200 model, handle language ID registration, and optimize training using the Adafactor optimizer for memory-efficient performance on a single GPU setup.