Redundancy-free Island Parsing of Word Graphs
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1079-1083.
Abstract
Island parsing is a bidirectional parsing strategy mostly used in speech analysis, as well as in applications where robustness is highly relevant and/or processing resources are limited. Although there exists an efficient redundancy-free island parsing algorithm for string input, it has not yet been applied to word graph input, an application which is central for speech analysis systems. This paper describes how the established algorithm can be generalized from string input to word graphs, increasing its flexibility by integrating the selection of island seeds into the search process inherent to parsing.
@inproceedings{ijcai2005p123,
title = {Redundancy-free Island Parsing of Word Graphs},
author = {Kiefer, Bernd},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1079--1083},
year = {2005},
url = {https://ijcai.org/proceedings/2005/123},
}
TY - CPAPER TI - Redundancy-free Island Parsing of Word Graphs AU - Kiefer, Bernd T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1079 EP - 1083 UR - https://ijcai.org/proceedings/2005/123 ER -Copied
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