natural language processing • language models • neural networks • word vectors
Computer Generated Poetry
I wrote an algorithm in Python to generate 14 line, rhyming sonnets. The user provides a topic and the algorithm does the rest of the work to write a 14 line Shakespearean or Petrarchan sonnet. The computer starts by choosing the ending rhyme words for each line, and then writes the lines backwards. The algorithm relies on word vectors to create figurative language and stay on theme. Here's a sample generated with the algorithm:
Award
Second Place in Dartmouth's PoetiX Turing Test in the Creative Arts
Press
Our poems were talked about and published in:
Cover story on UC Berkeley's homepage in August, 2016
Publications and Talks
Intersecting Word Vectors to Take Figurative Language to New Heights. North American Chapter of the Association for Computational Linguistics.
The Pythonic Poet. The iSchool Review.
Invited to give talk and presented at USC/ISI Natural Language Seminar.
Project team member: Emily Paul