Pemuisi: A constraint satisfaction-based generator of topical Indonesian poetry

Fam Rashel, Ruli Manurung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Pemuisi is a poetry generation system that generates topical poems in Indonesian using a constraint satisfaction approach. It scans popular news websites for articles and extracts relevant keywords that are combined with various language resources such as templates and other slot fillers into lines of poetry. It then composes poems from these lines by satisfying a set of given constraints. A Turing Test-style evaluation and a detailed evaluation of three different configurations of the system was conducted through an online questionnaire with 180 respondents. The results showed that under the best scenario, 57% of the respondents thought that the generated poems were authored by humans, and that poems generated using the full set of constraints consistently measured better on all aspects than those generated using the other two configurations. The system is now available online as a web application.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Computational Creativity, ICCC 2014
EditorsSimon Colton, Dan Ventura, Nada Lavrac, Michael Cook
PublisherJozef Stefan Institute
ISBN (Electronic)9789612640552
Publication statusPublished - 1 Jan 2014
Event5th International Conference on Computational Creativity, ICCC 2014 - Ljubljana, Slovenia
Duration: 10 Jun 201413 Jun 2014

Publication series

NameProceedings of the 5th International Conference on Computational Creativity, ICCC 2014

Conference

Conference5th International Conference on Computational Creativity, ICCC 2014
Country/TerritorySlovenia
CityLjubljana
Period10/06/1413/06/14

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