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Machine Translation for Human Innovation

Machine Translation (MT) drives ubiquitous, on-demand multilingual content using artificial inteligence to help enterprises and language service providers alike grow and meet the increasing demands for translation, while reducing cost and time to delivery.

A new paradigm called "augmented translation" uses the strengths of MT to assist human translators.

CSA Research has collected data from 902 implementers of MT systems, and 3002 public consumers of MT. Our research focuses on what, when, and how to implement MT for maximum success. 

Our research covers:

  • Types of MT systems
  • How to select MT systems
  • How MT connects to other language technology
  • How enterprises deploy MT to meet their content needs
  • How LSPs and language professionals work with MT
  • The positive relationship between MT strategy and growth for LSPs

Fear Unfounded

The fear of translators losing their jobs to technology is not new. Watch this video from 1964.

The Story Behind Our MT Research

From the rise of statistical MT to the emergence of neural machine translation, CSA Research has provided data-driven research on machine translation and AI for over ten years.  Based on quantitative and qualitative surveys and interviews with 902 enterprises and LSPs that adopt, translate with, and use technology, and 3002 public consumers of MT, we provide a holistic approach to MT and its role in tearing down language barriers.

 
 
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