In contrast to manually encoding rules for language pairs, we could use similarities and differences between target languages encoded in existing typological databases of structural properties of the world's languages, e.g., the World Atlas of Language Structures, WALS (Dryer and Haspelmath, 2013).
the challenge taken up in the present work is how to exploit typological databases such as WALS to guide the learning algorithm into making the right decisions about word order.