- 会议详情
- 基本信息
讲座主题：
Document-level Machine Translation: Recent Progress and The Crux of Evaluation
主讲人姓名及介绍：
Rico Sennrich is an SNSF Professor at the University of Zurich working on natural language processing, ***-task learning.
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报告摘要：
Machine translation (MT) is still predominantly modelled and evaluated on the level of sentences, but neural methods have the potential to overcome this limitation and allow effective document-***, practical challenges of document-level MT include the lack of suitable training data, the high computational cost of wider-context models, and low reward for "context-aware" translation in automatic metrics.
In his talk, he will discuss recent neural architectures that take into account wider context and address computational and data bottlenecks in different ways, ***, he will show that targeted evaluation can guide the development of document-level system by highlighting the effects of various modelling decisions.
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