Papers by Shushu Wang

3 papers
Adaptive Policy with Wait-k Model for Simultaneous Translation (2023.emnlp-main)

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Challenge: Existing approaches to simultaneous machine translation require a robust read/write policy . a standalone multi-path wait-k model performs competitively with adaptive policies .
Approach: They propose a more flexible approach by decoupling the adaptive policy model from the translation model.
Outcome: The proposed approach outperforms baseline approaches in translation tasks.
Better Simultaneous Translation with Monotonic Knowledge Distillation (2023.acl-long)

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Challenge: Existing methods to train offline MT models require generating target tokens before source sentence is fully consumed.
Approach: They propose a method that leverages traditional translation models as teachers to generate monotonic yet accurate reference translations for sequence-level knowledge distillation.
Outcome: The proposed approach improves on strong baselines and on a monotonic version of the WMT15 De-En test set.
Improve Speech Translation Through Text Rewrite (2025.coling-industry)

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Challenge: Recent advances in speech translation (ST) research have focused on the unique characteristics of spontaneous speech, including accents and presentation quality.
Approach: They propose to transform transcribed speech into a cleaner style more in line with the expectations of translation models built from written text.
Outcome: Experiments on public and in-house translation models show that the proposed model can be effectively distilled into a standalone translation model.

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