ABOP, automatic optimization of patient information leafletsABOP, automatic optimization of patient information leaflets
Faculty of Arts. Translators and Interpreters
Faculty of Arts. Linguistics and Literature
Centre for Computational Linguistics and Psycholinguistics (CLiPS)
Translation, Interpreting and Intercultural Studies (TriCs)
Proceedings of the International Symposium on Data and Sense Mining, Machine Translation and Controlled Languages
ABOP, an Automatic optimizer for Patient Information Leaflets (PILs), aims to improve the readability of Dutch PILs by tackling three of the issues that make a PIL hard to read: the scientific terminology used, the redundancy which makes a PIL needlessly lengthy and the overlap between illocutionary acts which often make no distinction between an instruction, a warning and mere informative text. ABOP combines a highly accurate learning-based terminology extraction web service with an application that can be plugged into Microsoft Word and easily used by PIL authors.