In this episode of Reality Series, we focus on the myths and realities of Machine Translation Quality Estimation.
Over the past decade, the evolution of machine translation has significantly changed the industry. With that, there are a lot of factors to consider when we look at the quality estimation of machine translation – and this discussion is dives right in, addressing ways that quality is estimated and calculated, and questions like:
- Does a high score mean high quality?
- What role do semantics play in edit rate?
- How does a fuzzy match affect translators?
- How (and when) should we edit and translate profanities?