Optimal Corpus Aware Training for Neural Machine Translation Apple Machine Learning Research
Corpus Aware Training (CAT) leverages valuable corpus metadata during training by injecting corpus information into each training example, and has been found effective in the literature, commonly known as the “tagging” approach. Models trained with CAT inherently learn the quality, domain and nuance between corpora… Read More »Optimal Corpus Aware Training for Neural Machine Translation Apple Machine Learning Research