  Current advances in machine translation increase the need for translators to
switch from traditional translation to post-editing of machine-translated text,
a process that saves time and improves quality. Human and artificial
intelligence need to be integrated in an efficient way to leverage the
advantages of both for the translation task. This paper outlines approaches at
this boundary of AI and HCI and discusses open research questions to further
advance the field.
