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Finding contrasting patterns in rhythmic properties between prose and poetry

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Autor(es):
de Arruda, Henrique Ferraz ; Reia, Sandro Martinelli ; Silva, Filipi Nascimento ; Amancio, Diego Raphael ; Costa, Luciano da Fontoura
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 598, p. 13-pg., 2022-05-05.
Resumo

Poetry and prose are written artistic expressions that help us appreciate the reality we live in. Each of these styles has its own set of subjective properties, such as rhyme and rhythm, which are easily caught by a human reader's eye and ear. With the recent advances in artificial intelligence, the gap between humans and machines may have decreased, and today we observe algorithms mastering tasks that were once exclusively performed by humans. In this paper, we propose a computational method to distinguish between poetry and prose based solely on aural and rhythmic properties. In order to compare prose and poetry rhythms, we represent the rhymes and phonemes as temporal sequences, and thus, we propose a procedure for extracting rhythmic features from these sequences. The performance of this procedure is evaluated by the use of popular machine learning classifiers, and the best accuracy was obtained with a multilayer perceptron neural network. Interestingly, by using an approach based on complex networks to visualize the similarities between the different texts considered, we found that the patterns of poetry vary more than prose. Consequently, a richer and more complex set of rhythmic possibilities tends to be found in that modality. (C) 2022 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 18/10489-0 - Transformações de redes complexas e suas implicações na topologia e dinâmica de sistemas complexos
Beneficiário:Henrique Ferraz de Arruda
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 20/06271-0 - Combinando redes complexas e word embeddings em tarefas de classificação de textos
Beneficiário:Diego Raphael Amancio
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 15/22308-2 - Representações intermediárias em Ciência Computacional para descoberta de conhecimento
Beneficiário:Roberto Marcondes Cesar Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático