Automatic Generation of Literary Sentences
Abstract
In this article, we regard the task of automatic generation of literary sentences, which is an important topic in the area of Computational Creativity. We propose three generative models mainly based on statistical algorithms and shallow parsing. The generated texts were evaluated by seven persons according to four criteria: grammar, coherence, context related, and an adaptation of the Turing test. We present preliminary results of their implementations that are quite encouraging.
Copyright (c) 2020 Luis Gil Moreno Jiménez, Juan Manuel Torres-Moreno, Roseli S. Wedemann, Eric SanJuan
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