  Determining the author of a text is a difficult task. Here we compare
multiple AI techniques for classifying literary texts written by multiple
authors by taking into account a limited number of speech parts (prepositions,
adverbs, and conjunctions). We also introduce a new dataset composed of texts
written in the Romanian language on which we have run the algorithms. The
compared methods are Artificial Neural Networks, Support Vector Machines, Multi
Expression Programming, Decision Trees with C5.0, and k-Nearest Neighbour.
Numerical experiments show, first of all, that the problem is difficult, but
some algorithms are able to generate decent errors on the test set.
