论文标题
为同时的机器翻译建模双读/编写路径
Modeling Dual Read/Write Paths for Simultaneous Machine Translation
论文作者
论文摘要
同时的机器翻译（SIMT）输出翻译，而读取源句，因此要求策略决定是否等待下一个源单词（读）或生成目标单词（写），该操作形成读/写路径的动作。尽管读/写路径对于SIMT性能至关重要，但在现有方法中没有直接监督。在本文中，我们提出了一种双路径SIMT的方法，该方法引入了双重性约束以指导读/写路径。根据二元性约束，可以将源至目标和目标的SIMT模型中的读/写路径相互映射。结果，可以通过强迫其读/写路径以满足映射的方式共同优化这两个SIMT模型。关于EN-VI和DE-EN任务的实验表明，我们的方法在所有延迟下都能胜过强大的基准。
Simultaneous machine translation (SiMT) outputs translation while reading source sentence and hence requires a policy to decide whether to wait for the next source word (READ) or generate a target word (WRITE), the actions of which form a read/write path. Although the read/write path is essential to SiMT performance, no direct supervision is given to the path in the existing methods. In this paper, we propose a method of dual-path SiMT which introduces duality constraints to direct the read/write path. According to duality constraints, the read/write path in source-to-target and target-to-source SiMT models can be mapped to each other. As a result, the two SiMT models can be optimized jointly by forcing their read/write paths to satisfy the mapping. Experiments on En-Vi and De-En tasks show that our method can outperform strong baselines under all latency.
