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

October 20, 2022 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Shaolei Zhang, Shoutao Guo, Yang Feng arXiv ID 2210.11220 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 25 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 4 months ago
Abstract
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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