Abstract
A phonotactic grammar assigns a well-formedness score to all possible surface forms. This paper considers whether phonotactic grammars should be probabilistic, and gives several arguments that they need to be. Hayes & Wilson (2008) demonstrate the promise of a maximum entropy Harmonic Grammar as a probabilistic phonotactic grammar. This paper points out a theoretical issue with maxent phonotactic grammars: they are not guaranteed to assign a well-defined probability distribution, because sequences that contain arbitrary repetitions of unmarked sequences may be underpenalised. The paper motivates a solution to this issue: include a *Structconstraint. A mathematical proof of necessary and sufficient conditions to avoid the underpenalisation problem are given in online supplementary materials.
Publisher
Cambridge University Press (CUP)
Subject
Linguistics and Language,Language and Linguistics
Reference60 articles.
1. Differentiating Phonotactic Probability and Neighborhood Density in Adult Word Learning
2. Inducing features of random fields
3. Bowers Dustin (2014). Balancing leveling and composite URs. Paper presented at Phonology 2014, MIT.
4. Estimation of probabilistic context-free grammars;Chi;Computational Linguistics,1998
5. Learnability in Optimality Theory;Tesar;LI,1998
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献