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        <title>A Minimal Computational Improviser Based on Oral Thought</title>
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            <title>Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)</title>
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            <namePart type="given">Marc-Alexandre</namePart>
            <namePart type="family">Côté</namePart>
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            <namePart type="family">Yuan</namePart>
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        <name type="personal">
            <namePart type="given">Prithviraj</namePart>
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    <abstract>A prototype system for playing a minimal improvisational game with one or more human or computer players is discussed. The game, Chain Reaction, has players collectively build a chain of word pairs or solid compounds. With a basis in oral culture, it emphasizes memory and rapid improvisation. Chains are only locally coherent, so absurdity and humor increases during play. While it is trivial to develop a computer player using textual corpora and literature-culture concepts, our approach is unique in that we have grounded our work in the principles of oral culture according to Walter Ong, an early scholar of orature. We show how a simple computer model can be designed to embody many aspects of oral poetics as theorized by Ong, suggesting design directions for other work in oral improvisation and poetics. The opportunities for own our system’s further development include creating culturally specific automated players and situating play in different temporal, physical, and social contexts.</abstract>
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    <identifier type="doi">10.18653/v1/2022.wordplay-1.2</identifier>
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%0 Conference Proceedings
%T A Minimal Computational Improviser Based on Oral Thought
%A Montfort, Nick
%A Bartlett Fernandez, Sebastian
%Y Côté, Marc-Alexandre
%Y Yuan, Xingdi
%Y Ammanabrolu, Prithviraj
%S Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F montfort-bartlett-fernandez-2022-minimal
%X A prototype system for playing a minimal improvisational game with one or more human or computer players is discussed. The game, Chain Reaction, has players collectively build a chain of word pairs or solid compounds. With a basis in oral culture, it emphasizes memory and rapid improvisation. Chains are only locally coherent, so absurdity and humor increases during play. While it is trivial to develop a computer player using textual corpora and literature-culture concepts, our approach is unique in that we have grounded our work in the principles of oral culture according to Walter Ong, an early scholar of orature. We show how a simple computer model can be designed to embody many aspects of oral poetics as theorized by Ong, suggesting design directions for other work in oral improvisation and poetics. The opportunities for own our system’s further development include creating culturally specific automated players and situating play in different temporal, physical, and social contexts.
%R 10.18653/v1/2022.wordplay-1.2
%U https://aclanthology.org/2022.wordplay-1.2
%U https://doi.org/10.18653/v1/2022.wordplay-1.2
%P 16-24

Markdown (Informal)

[A Minimal Computational Improviser Based on Oral Thought](https://aclanthology.org/2022.wordplay-1.2) (Montfort & Bartlett Fernandez, Wordplay 2022)

• A Minimal Computational Improviser Based on Oral Thought (Montfort & Bartlett Fernandez, Wordplay 2022)

ACL

• Nick Montfort and Sebastian Bartlett Fernandez. 2022. A Minimal Computational Improviser Based on Oral Thought. In Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022), pages 16–24, Seattle, United States. Association for Computational Linguistics.