Redefining domain adaptation for machine translation and voice recognition, an essential primer

A perspective on domain adaptation for machine translation and automated speech recognition


Redefining domain adaptation for machine translation and voice recognition - An essential primer took place online on 16 February, 2023. The webinar was organised by Omniscien.

This webinar will demonstrate how Omniscien’s team gathers and synthesizes billions of sentences of training data that is used to teach and adapt AI systems. We will explore best practices and explain the limitations of traditional approaches. We will show how to use AI to create many millions of sentences of training data that can be used as part of domain adaptation. Essentially, this means using one form of AI to teach another AI form new knowledge.

Speakers

  • Professor Philipp Koehn, Chief Scientist at Omniscien and Professor at Johns Hopkins University
  • Dion Wiggins, Chief Technology Officer at Omniscien

Want to learn more about Redefining domain adaptation for machine translation and voice recognition, an essential primer?


Edit this article →

Machine Translate is created and edited by contributors like you!

Learn more about contributing →

Licensed under CC-BY-SA-4.0.

Cite this article →