I m researching machine translation quality estimation in real-world usage, and I was wondering if anyone here is using it in production right now and for what purposes? From my understanding, the main use case is to anticipate what segments won t be touched by human post-editors and approve them as is, but I understand some people may use it differently, like for machine translation quality evaluation (comparing engines performance). Any input would help! Thank you!