Digital poetry production using neural networks

نوع مقاله : مقاله پژوهشی

نویسنده

بخش کنترل و ابزار دقیق شرکت نفت فلات قاره ایران، خارگ، بوشهر، ایران

چکیده

intelligence has influenced on everything and faced the social reaction with the modern phenomena. Function of artificial intelligence in human life is increasingly developing in a range of industrial and medical technologies to communicational networks, human sciences and even art. Digital poetry genre along with the digital art has found its fans a few years and its different branches are appearing. Performance of poem in the digital environment and use of software facilities for producing the aesthetics in the language are of achievements of this genre. In this paper, using the neural networks and genetic algorithm, we have designed an artificial poet who enables to compose the Persian harmonic and classic poetry with the extraction of words from the database. Hence, we first make a database from words and extract them by designing a program, then we produce the rhythmic hemistich and rhymed verses by using the genetic algorithm, then we classify our poetic products in the varied rhythms using the neural networks.

کلیدواژه‌ها


عنوان مقاله [English]

Digital poetry production using neural networks

نویسنده [English]

  • Ali Abdali
Control Systems and Instrumentation Department of Iranian Offshore Oil Company, Kharg, Bushehr 7546143572, Iran
چکیده [English]

intelligence has influenced on everything and faced the social reaction with the modern phenomena. Function of artificial intelligence in human life is increasingly developing in a range of industrial and medical technologies to communicational networks, human sciences and even art. Digital poetry genre along with the digital art has found its fans a few years and its different branches are appearing. Performance of poem in the digital environment and use of software facilities for producing the aesthetics in the language are of achievements of this genre. In this paper, using the neural networks and genetic algorithm, we have designed an artificial poet who enables to compose the Persian harmonic and classic poetry with the extraction of words from the database. Hence, we first make a database from words and extract them by designing a program, then we produce the rhythmic hemistich and rhymed verses by using the genetic algorithm, then we classify our poetic products in the varied rhythms using the neural networks.

کلیدواژه‌ها [English]

  • Artificial Poet
  • Digital poetry
  • Genetic Algorithm
  • Neural Networks