Our hypothesis that scrambling makes language harder to model seems confirmed at first: while the non-parametric (and thus more weakly powered) Spearman's = .196/.092 ( = .394/.691), Pearson's = .486/.522 ( = .032/.015).
the RNN is then trained over the sequence of units, which looks like this: "the |ex|os|kel|eton |is |gener|ally |blue".