Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response
Table 2: Automatic evaluation results for baseline approach and at each stages of our training pipeline.
['[EMPTY]', 'BLEU', 'ChrF', 'Meteor']
Results show an agreement between all evaluation measures on the boost obtained from multilingual pre-training. Accuracy increases of +1.3, +3.1 and +0.9