David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Hayes & MacEachern’s study of quatrain stanzas in English folk songs was the first application of stochastic Optimality Theory to a large corpus of data.1 It remains the most extensive study of versification that OT has to offer, and the most careful and perceptive formal analysis of folk song meter in any framework. In a follow-up study, Hayes concludes that stress and meter — or more generally, the prosodic structure of language and verse — are governed by separate constraint systems which must be jointly satisfied by well-formed verse. Apart from its convincing arguments for a modular approach to metrics, it is notable for successfully implementing the analysis in OT, a framework whose parallelist commitments might seem philosophically at odds with modularity.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Justin Leiber (1998). Faculty Before Folk. Behavioral and Brain Sciences 21 (4):579-580.
Willett Kempton (1981). The Folk Classification of Ceramics: A Study of Cognitive Prototypes. Academic Press.
Daniel C. Dennett (1991). Two Contrasts: Folk Craft Vs Folk Science and Belief Vs Opinion. In John D. Greenwood (ed.), The Future of Folk Psychology. Cambridge University Press 135--148.
Ian Ravenscroft, Folk Psychology as a Theory. Stanford Encyclopedia of Philosophy.
Peter Godfrey-Smith (2003). Folk Psychology Under Stress: Comments on Susan Hurley's Animal Action in the Space of Reasons. Mind and Language 18 (3):266-272.
Federico Peinado, Virginia Francisco, Raquel Hervás & Pablo Gervás (2010). Assessing the Novelty of Computer-Generated Narratives Using Empirical Metrics. Minds and Machines 20 (4):565-588.
Pablo Gervás (2010). Assessing the Novelty of Computer-Generated Narratives Using Empirical Metrics. Minds and Machines 20 (4):565-588.
Robert E. MacLaury (1998). Domain-Specificity in Folk Biology and Color Categorization: Modularity Versus Global Process. Behavioral and Brain Sciences 21 (4):582-583.
Added to index2009-01-28
Total downloads8 ( #314,729 of 1,777,936 )
Recent downloads (6 months)3 ( #169,156 of 1,777,936 )
How can I increase my downloads?