Francisco Guzman

Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation

For many languages, machine translation progress is hindered by the lack of reliable training data. Models are trained on whatever pre-existing datasets may be available and then augmented with synthetic data, because it is often not economical to pay for the creation of large-scale datasets. But fo…