This paper describes our systems that were submitted to the restricted translation task at WAT 2021. In this task, the systems are required to output translated sentences that contain all given word constraints. Our system combined input augmentation and constrained beam search algorithms. Through experiments, we found that this combination significantly improves translation accuracy and can save inference time while containing all the constraints in the output. For both En->Ja and Ja->En, our systems obtained the best evaluation performances in automatic evaluation.

中文翻译：

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输入增强改进了神经机器翻译的约束波束搜索：WAT 2021 上的 NTT

本文描述了我们在 2021 年 WAT 上提交给受限翻译任务的系统。在此任务中，系统需要输出包含所有给定单词约束的翻译句子。我们的系统结合了输入增强和约束波束搜索算法。通过实验，我们发现这种组合显着提高了翻译准确性，并且可以在包含输出中的所有约束的同时节省推理时间。对于 En->Ja 和 Ja->En，我们的系统在自动评估中获得了最好的评估性能。