PASS: a parallel speech understanding system Export

@inproceedings{c_chung_demara_caia_93, abstract = {The authors present a parallel computational model for the integration of speech and natural language processing. The model adopts a hierarchically-structured knowledge base and memory-based parsing techniques. Processing is carried out by passing multiple markers in parallel through the knowledge base. Speech-specific problems such as insertion, deletion, substitution, and word boundaries have been analyzed and their parallel solutions are provided. The complete system has been implemented on a parallel machine and is operational. Results show a 80\% sentence recognition rate for the air traffic control domain. A 10-fold speed-up can be obtained over an identical sequential implementation with an increasing speed advantage as the size of the knowledge base grows}, address = {Orlando, Florida}, author = {Chung, S. and Demara, R. and Moldovan, D.}, citeulike-article-id = {87086}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=366650}, journal = {Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on}, keywords = {demara}, pages = {136--142}, posted-at = {2005-02-03 17:43:28}, priority = {2}, title = {PASS: a parallel speech understanding system}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=366650}, year = {1993} }

TY - CONF ID - c_chung_demara_caia_93 L3 - citeulike-article-id:87086 N2 - The authors present a parallel computational model for the integration of speech and natural language processing. The model adopts a hierarchically-structured knowledge base and memory-based parsing techniques. Processing is carried out by passing multiple markers in parallel through the knowledge base. Speech-specific problems such as insertion, deletion, substitution, and word boundaries have been analyzed and their parallel solutions are provided. The complete system has been implemented on a parallel machine and is operational. Results show a 80% sentence recognition rate for the air traffic control domain. A 10-fold speed-up can be obtained over an identical sequential implementation with an increasing speed advantage as the size of the knowledge base grows JF - Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on AD - Orlando, Florida EP - 142 TI - PASS: a parallel speech understanding system SP - 136 KW - demara AU - Chung, S AU - Demara, R AU - Moldovan, D PY - 1993/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=366650 ER -