))
Philipp Koehn (Part 1) - How Neural Networks Have Transformed Machine Translation
Manage episode 297999658 series 2954151
内容由Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger提供。所有播客内容（包括剧集、图形和播客描述）均由 Damien Deighan and Philipp Diesinger, Damien Deighan, and Philipp Diesinger 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Professor Philipp Koehn of Johns Hopkins University discusses the evolution of machine translation and the fundamentals for using Neural Networks to deliver Machine translation.
Episode Summary:
- Philipp Koehn Bio
- What is Machine Translation?
- Adequacy & Fluency
- How to Quantify the performance of Machine Translation models
- The Transition from Statistical approaches to using Neural Networks for translation
- Validating Outputs of models
- What can go wrong with Machine Translation?
Resources:
Philipp Koehn latest book - Neural Machine Translation - Amazon link:
https://www.amazon.com/Neural-Machine-Translation-Philipp-Koehn/dp/1108497322
25集单集
分享
