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Augmented Quality Assessment (AQuA) - Strategy, Progress and Lessons Learned

Details

Author: Daniel Whitenack; Joshua Nemecek; Gary Simons; Phil King

Year: 2021

Track(s):
  • Technology & Innovation

Abstract

The AQuA project uses AI to automatically and objectively assess multiple facets of translation quality. This paper introduces the strategy, technology, initial results, and lessons learned, covering: power tools for translation consultants; an early warning system for translators; and an equalizer for administrators to compare innovative methodologies.