Controlling Text Complexity in Neural Machine Translation
Table 8: Evaluation on auxiliary tasks: Multitask models trained on both the translation and simplification dataset improves the performance for the task of English Simplification.
['Task', 'BLEU', 'SARI', 'PCC']
By contrast, on the resource-rich MT task, the standalone translation system performs better. This can be explained by the fact that the standalone system is only responsible for text translation, while the multi-task model is exposed to samples of more diverse complexity levels during training which damage its ability to preserve complexity.