  In this article we describe an application of Machine Learning (ML) and
Linguistic Modeling to generate persian poems. In fact we teach machine by
reading and learning persian poems to generate fake poems in the same style of
the original poems. As two well known poets we used Hafez (1310-1390) and Saadi
(1210-1292) poems. First we feed the machine with Hafez poems to generate fake
poems with the same style and then we feed the machine with the both Hafez and
Saadi poems to generate a new style poems which is combination of these two
poets styles with emotional (Hafez) and rational (Saadi) elements. This idea of
combination of different styles with ML opens new gates for extending the
treasure of past literature of different cultures. Results show with enough
memory, processing power and time it is possible to generate reasonable good
poems.
