Two adaptation methods for probabilistic context-free grammars are considered. In the first, an LR parser is enhanced with an error-recovery procedure which synthesises production rules in order to allow strings which are not in the language to be accepted. In the second, a hierarchy of probabilistic context-free grammars with progressively weaker structure has the same effect. Both methods are intended to promote flexibility and introduce a learning capability into linguistic modelling for speech recognition.
Cite as: Wright, J.H., Wrigley, E.N., Carey, M.J. (1989) Probabilistic multilevel language analysis for speech recognition. Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989), 1486-1489, doi: 10.21437/Eurospeech.1989-56
@inproceedings{wright89_eurospeech,
author={J. H. Wright and E. N. Wrigley and M. J. Carey},
title={{Probabilistic multilevel language analysis for speech recognition}},
year=1989,
booktitle={Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989)},
pages={1486--1489},
doi={10.21437/Eurospeech.1989-56}
}