Paper: Acceptability Prediction By Means Of Grammaticality Quantification

ACL ID P06-1008
Title Acceptability Prediction By Means Of Grammaticality Quantification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

We propose in this paper a method for quantifying sentence grammaticality. The approach based on Property Grammars, a constraint-based syntactic formalism, makes it possible to evaluate a grammat- icality index for any kind of sentence, in- cluding ill-formed ones. We compare on a sample of sentences the grammaticality indices obtained from PG formalism and the acceptability judgements measured by means of a psycholinguistic analysis. The results show that the derived grammatical- ity index is a fairly good tracer of accept- ability scores.