Paper: Stochastic Dependency Parsing Of Spontaneous Japanese Spoken Language

ACL ID C02-1136
Title Stochastic Dependency Parsing Of Spontaneous Japanese Spoken Language
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

This paper describes the characteristic features of dependency structures of Japanese spoken language by investigating a spoken dialogue cor- pus, and proposes a stochastic approach to de- pendency parsing. The method can robustly cope with inversion phenomena and bunsetsus which don’t have the head bunsetsu by relax- ing the syntactic dependency constraints. The method acquires in advance the probabilities of dependencies from a spoken dialogue corpus tagged with dependency structures, and pro- vides the most plausible dependency structure for each utterance on the basis of the probabili- ties. An experiment on dependency parsing for driver’s utterances in CIAIR in-car spoken dia- logue corpus has been made. The experimental result has shown our method to be effective for robust pars...