arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1906.05786cs.CL
收藏

WMT19的UCAM生物医学翻译:迁移学习多领域集成

UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles

University of Cambridge(剑桥大学);SDL Research(SDL研究院)

Danielle Saunders, Felix Stahlberg, Bill Byrne

摘要:

2019年WMT生物医学翻译任务涉及翻译Medline摘要。我们使用迁移学习来实现这一点,以获得一系列不同领域的强神经模型,并将它们组合成多领域集成。我们进一步实验了自适应语言模型集成加权方案。我们的提交在英语-西班牙语两个方向上都取得了最好的提交结果。

英文摘要:

The 2019 WMT Biomedical translation task involved translating Medline abstracts. We approached this using transfer learning to obtain a series of strong neural models on distinct domains, and combining them into multi-domain ensembles. We further experiment with an adaptive language-model ensemble weighting scheme. Our submission achieved the best submitted results on both directions of English-Spanish.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑