• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for datateknologi og informatikk
  • View Item
  •   Home
  • Fakultet for informasjonsteknologi og elektroteknikk (IE)
  • Institutt for datateknologi og informatikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Computational Linguistic Creativity: Poetry generation given visual input

Loller-Andersen, Malte
Master thesis
Thumbnail
View/Open
16592_FULLTEXT.pdf (5.092Mb)
16592_ATTACHMENT.zip (13.36Kb)
16592_COVER.pdf (1.556Mb)
URI
http://hdl.handle.net/11250/2457136
Date
2017
Metadata
Show full item record
Collections
  • Institutt for datateknologi og informatikk [3798]
Abstract
In this Thesis, a system capable of generating poetry from images was designed and implemented. The implementation was then used to generate 153 stanzas. The system includes a CNN for object classification, a module to find related words and rhyme pairs and an LSTM network to score a tree search where nodes are representing the words being generated.

Three different experiments were conducted to evaluate the performance of the system. The first one looked at how training song lyrics on the LSTM network affected the word perplexity of different architectures. The second and third experiments were conducted with volunteering participants to evaluate the generated poetry.
Publisher
NTNU

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit