Twitter readability judgements data

<div>A collection of crowd-sourced (via Figure-Eight) human judgements of "English" tweet readability as assessed by participants with the following language backgrounds: Dutch, German, Mandarin, Cantonese, Spanish, Portuguese.</div><div>Demographic data<br></div><div>(RMIT Approved Ethics Application SEHAPP 48-18.)<br></div><div><br> </div><div>Any publications using the data should cite:</div><div><br></div><div>Jacob, P., & Uitdenbogerd, A. L. (2019). Readability of Twitter Tweets for Second Language Learners. In Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association (pp. 19-27), Meladel Mistica, Massimo Piccardi, Andrew MacKinlay (Editors).</div>