The work presented in this paper is devoted to the modeling of distribution of post-phrase pause duration for dependency analysis of read Japanese sentences. The pause information is incorporated into a dependency structure parser, which handles numerical information as part of linguistic knowledge. A series of our previous works has shown that the duration of pauses is constantly effective to improve the parsing accuracy among other prosodic features. This paper aims to improve the parsing accuracy by reforming pause distribution functions to better fit the actual distribution of pause duration. First, the pause distribution is divided into two parts, each of which is represented by a separate model: one by a discrete probability model, and the other by a bimodal p.d.f. Secondly, pause duration is calculated in log scale. All the experiments show that these modifications improve parsing accuracy.
Cite as: Takagi, K., Ozeki, K. (2001) Pause information for dependency analysis of read Japanese sentences. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1041-1044, doi: 10.21437/Eurospeech.2001-223
@inproceedings{takagi01_eurospeech,
author={Kazuyuki Takagi and Kazuhiko Ozeki},
title={{Pause information for dependency analysis of read Japanese sentences}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={1041--1044},
doi={10.21437/Eurospeech.2001-223}
}