Tied Multitask Learning for Neural Speech Translation
Table 3: The reconstruction model with the invertibility regularizer produces more informed attentions that result in better word discovery for Mboshi with an Mboshi-French model. Scores reported by previous work are in italics and best scores from our experiments are in bold.
['Model (with smoothing)', 'Model (with smoothing)', 'Tokens Precision', 'Tokens Recall', 'Tokens F-score', 'Types Precision', 'Types Recall', 'Types F-score']
We reimplemented the base (Mboshi-French) and reverse (French-Mboshi) models from Boito et al. Also, our version of both the base and reverse singletask models performed better than our reimplementation of the baseline.