We examine the practical constraints imposed on the task of sentence boundary detection in speech recognizer output, by the requirements of a system that supports large-scale commercial off-line transcription of dictations. We develop and evaluate a method that observes these constraints, reformulating the best technique previously reported in order to allow the use a smoothing technique directly tailored to boundary prediction. We then show how this method can be generalized and improved upon, demonstrating significantly better performance in three different domains.
Cite as: Carter, D., Gransden, I. (2001) Resource-limited sentence boundary detection. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 443-446, doi: 10.21437/Eurospeech.2001-118
@inproceedings{carter01_eurospeech,
author={David Carter and Ian Gransden},
title={{Resource-limited sentence boundary detection}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={443--446},
doi={10.21437/Eurospeech.2001-118}
}