论文标题

WAIT-INFO策略:在信息级别平衡源和目标,用于同时机器翻译

Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation

论文作者

Zhang, Shaolei, Guo, Shoutao, Feng, Yang

论文摘要

在接收源输入的同时,同时的机器翻译(SIMT)输出翻译,因此需要平衡接收到的源信息和翻译目标信息,以在等待输入或输出转换之间做出合理的决定。以前的方法始终在令牌级别上平衡源和目标信息,要么直接等待固定数量的令牌或根据当前令牌调整等待。在本文中,我们提出了一个等待info策略,以平衡信息级别的来源和目标。我们首先量化每个令牌中包含的信息量,命名为Info。然后,在同时翻译过程中,基于先前目标输出的总信息和接收到的源输入之间的比较结果做出等待或输出的决定。实验表明,我们的方法的表现优于强大的基准,并通过提出的信息更好地平衡。

Simultaneous machine translation (SiMT) outputs the translation while receiving the source inputs, and hence needs to balance the received source information and translated target information to make a reasonable decision between waiting for inputs or outputting translation. Previous methods always balance source and target information at the token level, either directly waiting for a fixed number of tokens or adjusting the waiting based on the current token. In this paper, we propose a Wait-info Policy to balance source and target at the information level. We first quantify the amount of information contained in each token, named info. Then during simultaneous translation, the decision of waiting or outputting is made based on the comparison results between the total info of previous target outputs and received source inputs. Experiments show that our method outperforms strong baselines under and achieves better balance via the proposed info.

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