论文标题
WMT22一般任务中的CUNI提交
CUNI Submission in WMT22 General Task
论文作者
论文摘要
我们介绍了WMT22一般翻译任务的Cuni-Bergamot提交。我们以英语$ \ rightarrow $捷克方向竞争。我们的提交进一步探讨了阻塞倒退技术。与以前的工作相比，我们根据彗星得分和命名实体翻译准确性来衡量性能。我们评估了MBR解码的性能与传统的混合倒退训练相比，我们在同时使用两种技术时表现出可能的协同作用。结果表明，两种方法都是改善翻译质量的有效方法，合并后它们会产生更好的结果。
We present the CUNI-Bergamot submission for the WMT22 General translation task. We compete in English$\rightarrow$Czech direction. Our submission further explores block backtranslation techniques. Compared to the previous work, we measure performance in terms of COMET score and named entities translation accuracy. We evaluate performance of MBR decoding compared to traditional mixed backtranslation training and we show a possible synergy when using both of the techniques simultaneously. The results show that both approaches are effective means of improving translation quality and they yield even better results when combined.
