论文标题
从同时到流机器翻译，通过利用流历史记录
From Simultaneous to Streaming Machine Translation by Leveraging Streaming History
论文作者
论文摘要
同时的机器翻译是在完全可用之前对输入句子进行逐步翻译的任务。当前，通过独立于先前翻译的文本来翻译每个句子来同时翻译。更一般而言，流媒体可以将MT理解为同时MT到连续输入文本流的增量翻译的扩展。在这项工作中，通过利用流媒体历史记录，将最新的同时句子级MT系统扩展到流设置。 IWSLT翻译任务报告了广泛的经验结果，这表明利用流媒体历史会带来显着的质量增长。特别是，提议的系统被证明与最佳性能系统相比。
Simultaneous Machine Translation is the task of incrementally translating an input sentence before it is fully available. Currently, simultaneous translation is carried out by translating each sentence independently of the previously translated text. More generally, Streaming MT can be understood as an extension of Simultaneous MT to the incremental translation of a continuous input text stream. In this work, a state-of-the-art simultaneous sentence-level MT system is extended to the streaming setup by leveraging the streaming history. Extensive empirical results are reported on IWSLT Translation Tasks, showing that leveraging the streaming history leads to significant quality gains. In particular, the proposed system proves to compare favorably to the best performing systems.
