How to build your own high quality neural machine translation system using Marian NMT
- Tutorial
- Language and Translation Technologies
- 12. November
- 13:00 - 14:00 PM (CET)
- Channel D
- finished Presentation Slides
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Prof. Dr. Reinhard Rapp
- Athena R.C.
Contents
Neural machine translation (NMT) is a revolutionary approach leading to substantial improvements in translation quality. It is based on machine learning and does not require a degree in linguistics to be understood, nor extensive programming skills to experiment with it. This presentation and its accompanying website provide a step-by-step introduction on how a high quality NMT system based on Google’s transformer architecture can be constructed.
Takeaways
Participants will learn from a practical perspective how neural machine translation (NMT) systems work and how they can build their own system on a PC using the freely available and well established Marian NMT toolkit.
Prior knowledge
Extensive experience in using computers will be assumed. However, prior knowledge of machine learning, machine translation and programming skills are not required.
Speaker
Prof. Dr. Reinhard Rapp
- Athena R.C.
- Show profile