  In this work, we take the first steps towards building a universal rewriter:
a model capable of rewriting text in any language to exhibit a wide variety of
attributes, including styles and languages, while preserving as much of the
original semantics as possible. In addition to obtaining state-of-the-art
results on unsupervised translation, we also demonstrate the ability to do
zero-shot sentiment transfer in non-English languages using only English
exemplars for sentiment. We then show that our model is able to modify multiple
attributes at once, for example adjusting both language and sentiment jointly.
Finally, we show that our model is capable of performing zero-shot
formality-sensitive translation.
