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.