Post-Editing is often seen as a low-skill low-reward activity that only the worst translators would agree to do. However, in a broader context, as there is a much broader context for post-editing related work and there is also possibly the emergence of new linguistic analysis roles.

The session will cover the following issues:

Post-editing can involve and be any and all of the following:

Basic brute force correction of bad MT translation

Analysis of error patterns and development of rules to handle error patterns

MT quality assessment to enable fair post-editing compensation

• Average effort measurements • Sampling • PEMT Rate setting

Development/creation of new data to make the MT engines more intelligent

Linguistic problem solving e.g. How do you build an MT engine for SMS or Chat?

Focused translation strategies for scarce data scenarios to solve new kinds of translation problems

This session was followed by a LIVE Q&A with the presenter. Recording of the Q&A can be found on this page.