  Translating text into a language unknown to the text's author, dubbed
outbound translation, is a modern need for which the user experience has
significant room for improvement, beyond the basic machine translation
facility. We demonstrate this by showing three ways in which user confidence in
the outbound translation, as well as its overall final quality, can be
affected: backward translation, quality estimation (with alignment) and source
paraphrasing. In this paper, we describe an experiment on outbound translation
from English to Czech and Estonian. We examine the effects of each proposed
feedback module and further focus on how the quality of machine translation
systems influence these findings and the user perception of success. We show
that backward translation feedback has a mixed effect on the whole process: it
increases user confidence in the produced translation, but not the objective
quality.
