We follow these prior works in working with the CzEng, a Czech-English dataset (Bojar et al., 2016b), due to its size, diverse domain coverage, and rich syntactic variations , and to allow for a direct comparison in methodologies.
we propose a new approach to paraphrase generation designed to increase paraphrastic diversity, using a multi-step process: the first part of the pipeline generates a large number of candidate paraphrases through a random process, and the second part whittles them down to a much shorter list.