PARSEC: A constraint-based framework for spoken language understanding (1992) [9 citations — 9 self]
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by Carla B. Zoltowski, Mary P. Harper, Leah H. Jamieson, All A. Helzerman
In Proceedings of the International Conference on Spoken Language Processing
ftp://transform.ecn.purdue.edu/pub/speech/papers/icslp92_1.ps.Z
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@INPROCEEDINGS{Zoltowski92parsec:a,author = {Carla B. Zoltowski and Mary P. Harper and Leah H. Jamieson and All A. Helzerman},
title = {PARSEC: A constraint-based framework for spoken language understanding},
booktitle = {In Proceedings of the International Conference on Spoken Language Processing},
year = {1992},
pages = {249--252}
}
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Abstract:
We have extended Maruyama's [5, 6, 7] constraint dependency grammar (CDG) to process a lattice or graph of sentence hypotheses instead of separate text strings. A post-processor to a speech recognizer producing N-best hypotheses generates the word graph representation, which is then augmented with information required for parsing. We will summarize the CDG parsing algorithm and then describe how the algorithm is extended to process a word graph on a single processor machine.
