It has been relatively difficult to develop natural language parsers for spoken dialog systems, not only because of the possible recognition errors, pauses, hesitations, out-of-vocabulary words, and the grammatically incorrect sentence structures, but because of the great efforts required to develop a general enough grammar with satisfactory coverage and flexibility to handle different applications. In this paper, a new hierarchical graph-based search scheme with layered structure is presented, which is shown to provide more robust and flexible spontaneous speech understanding for spoken dialog systems.
Cite as: Lin, B.-S., Chen, B., Wang, H.-M., Lee, L.-S. (1998) Hierarchical tag-graph search for spontaneous speech understanding in spoken dialog systems. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0449, doi: 10.21437/ICSLP.1998-499
@inproceedings{lin98b_icslp,
author={Bor-Shen Lin and Berlin Chen and Hsin-Min Wang and Lin-Shan Lee},
title={{Hierarchical tag-graph search for spontaneous speech understanding in spoken dialog systems}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0449},
doi={10.21437/ICSLP.1998-499}
}