  Mobile applications are required to give privacy notices to the users when
they collect or share personal information. Creating consistent and concise
privacy notices can be a challenging task for developers. Previous work has
attempted to help developers create privacy notices through a questionnaire or
predefined templates. In this paper, we propose a novel approach and a
framework, called PriGen, that extends these prior work. PriGen uses static
analysis to identify Android applications' code segments which process
sensitive information (i.e. permission-requiring code segments) and then
leverages a Neural Machine Translation model to translate them into privacy
captions. We present the initial evaluation of our translation task for
$\sim$300,000 code segments.
