Going beyond previous work, we make di-rect modifications to four key components in the SMT pipeline: 1 1) two novel simplification-specific tunable metrics; 2) large-scale paraphrase rules automatically derived from bilingual parallel corpora, which are more naturally and abundantly available than manually simplified texts; 3) rich rule-level simplification features; and 4) multiple reference simplifications collected via crowdsourcing for tuning and evaluation.
we report the first study that shows promising correlations of automatic metrics with human evaluation.