Papers with translation policy

2 papers
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search (2023.acl-long)

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Challenge: Simultaneous machine translation model needs a precise translation policy to achieve good latency-quality trade-offs.
Approach: They propose a method for building the optimal translation policy online via binary search by employing explicit supervision.
Outcome: Experiments on four translation tasks show that the proposed method exceeds strong baselines across all latency scenarios.
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation (2022.findings-emnlp)

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Challenge: Existing methods to perform adaptive and fixed translations lack evaluation before taking actions.
Approach: They propose a method to perform adaptive translation policy via post-evaluation into fixed policy . their method evaluates rationality of next action by measuring change in source content .
Outcome: The proposed method exceeds strong baselines under all latency.

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