Original title: Převod prózy do poezie pomocí neuronových sítí
Translated title: Converting prose into poetry using neural networks
Authors: Gokirmak, Memduh ; Popel, Martin (advisor) ; Dušek, Ondřej (referee)
Document type: Master’s theses
Year: 2021
Language: eng
Abstract: Title: Converting Prose into Poetry with Neural Networks Author: Memduh Gokirmak Institute: Institute of Formal and Applied Linguistics Supervisor: Martin Popel, Institute of Formal and Applied Linguistics Abstract: We present here our attempts to create a system that generates poetry based on a sequence of text provided to it by a user. We explore the use of machine translation and language model technologies based on the neural network architecture. We use different types of data across three languages in our research, and employ and develop metrics to track the quality of the output of the systems we develop. We find that combining machine translation techniques to generate training data to this end with fine-tuning of pre-trained language models provides the most satisfactory generated poetry. Keywords: poetry machine translation language models iii
Keywords: deep neural networks; generating poetry; machine translation; Transformer; generování poezie; hluboké neuronové sítě; strojový překlad; Transformer

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/148157

Permalink: http://www.nusl.cz/ntk/nusl-452460


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Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses