To provide an interpretable view of the contents of the parallel data that was crawled, we look at the distribution over topics of the parallel data set inferred using latent Dirichlet allocation (LDA) (Blei, Ng, and Jordan 2003).
we grouped the Weibo filtered tweets by user, and ran LDA over the predicted English segments, using 12 topics.