Automatic evaluation for sentence simplification remains a challenging problem. Most popular evaluation metrics require multiple high-quality references-something not readily available for simplification-which makes it difficult to test performance on unseen domains. Furthermore, most existing metrics conflate simplicity with correlated attributes such as fluency or meaning preservation. We propose a new learned evaluation metric (SLE) which focuses on simplicity, outperforming almost all existing metrics in terms of correlation with human judgements.