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