Language Model Augmented Monotonic Attention for Simultaneous Translation (2022.naacl-main)
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| Challenge: | Existing adaptive policies for simultaneous neural machine translation use monotonic attention to perform read/write decisions based on the partial source and target sequences. |
| Approach: | They propose a framework to aid monotonic attention with an external language model to improve its decisions. |
| Outcome: | The proposed approach improves on English-German and English-French translation tasks by using a language model. |
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