Top marks for OSU system in multilingual surface realization shared task

Our entry in the multilingual surface realization shared task at this year’s ACL, which used a neural morphological inflection model together with a linearizer employing novel dependency locality features, achieved the best scores on the automatic metrics for more than half of the shared task languages and also did well on the human evaluation.