A Parallel Parser for Spoken Natural Language
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Speech and Natural Language. Pages 1537-1541.
Abstract
This paper describes SYNAPSIS, a parser for performing real-time understanding of spoken utterances in a parallel computational environment. Understanding continuous speech allowing reasonably free syntax poses two main problems, namely the risk of erroneous interpretations and the largeness of the search space owing to the high uncertainty of the input. The parser is characterized by an approach whose major novel features are 1) a drastic reduction of idle time, thanks to the asynchronous interagent communications, and 2) high modularity, thanks to the distribution of homogeneous pieces of knowledge rather than distribution of different parsing tasks. These features make the parser most apt for implementation on homogeneous Transputer-based distributed architectures.
@inproceedings{ijcai1989p245,
title = {A Parallel Parser for Spoken Natural Language},
author = {Giachin, Egidio P. and Rullent, Claudio},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1537--1541},
year = {1989},
month = {8},
note = {Speech and Natural Language},
url = {https://ijcai.org/proceedings/1989/245},
}
TY - CPAPER TI - A Parallel Parser for Spoken Natural Language AU - Giachin, Egidio P. AU - Rullent, Claudio T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1537 EP - 1541 UR - https://ijcai.org/proceedings/1989/245 ER -Copied
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