Our systematic contribution lies on annotated data, supervised model and discussions of its potential to help existing machine translation evaluation task.
: • We propose a task of adequacy-oriented error detection for machine translation evaluation and contribute a high-quality corpus TransErr annotated by professional annotators for machine translation.