  The engagement of citizens in the research projects, including Digital
Humanities projects, has risen in prominence in recent years. This type of
engagement not only leads to incidental learning of participants but also
indicates the added value of corpus enrichment via different types of
annotations undertaken by users generating so-called smart texts. Our work
focuses on the continuous task of adding new layers of annotation to Classical
Literature. We aim to provide more extensive tools for readers of smart texts,
enhancing their reading comprehension and at the same time empowering the
language learning by introducing intellectual tasks, i.e., linking, tagging,
and disambiguation. The current study adds a new mode of annotation-audio
annotations-to the extensively annotated corpus of poetry by the Persian poet
Hafiz. By proposing tasks with three different difficulty levels, we estimate
the users' ability of providing correct annotations in order to rate their
answers in further stages of the project, where no ground truth data is
available. While proficiency in Persian is beneficial, annotators with no
knowledge of Persian are also able to add annotations to the corpus.
