Computer Science – Computation and Language
Scientific paper
1997-07-28
Computer Science
Computation and Language
compressed postscript, 8 pages, 1 figure
Scientific paper
In foundational works of generative phonology it is claimed that subjects can reliably discriminate between possible but non-occurring words and words that could not be English. In this paper we examine the use of a probabilistic phonological parser for words to model experimentally-obtained judgements of the acceptability of a set of nonsense words. We compared various methods of scoring the goodness of the parse as a predictor of acceptability. We found that the probability of the worst part is not the best score of acceptability, indicating that classical generative phonology and Optimality Theory miss an important fact, as these approaches do not recognise a mechanism by which the frequency of well-formed parts may ameliorate the unacceptability of low-frequency parts. We argue that probabilistic generative grammars are demonstrably a more psychologically realistic model of phonological competence than standard generative phonology or Optimality Theory.
Coleman John
Pierrehumbert Janet
No associations
LandOfFree
Stochastic phonological grammars and acceptability does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Stochastic phonological grammars and acceptability, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stochastic phonological grammars and acceptability will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-286956