A Parallel Computational Model For Integrated Speech And Natural-Language Understanding
Title - Alternative
IEEE Trans. Comput.
Speech Understanding; Parallel Computational Model; Marker-Passing; Architecture; Integrated Speech And Natural Language Understanding; Memory-Based Parsing; Computer Science, Hardware & Architecture; Engineering, Electrical &; Electronic
We present a parallel approach for integrating speech and natural language understanding. The method emphasizes 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 boundary detection have been analyzed and their parallel solutions are provided. Results on the SNAP-1 multiprocessor show an 80% sentence recognition rate for the Air Traffic Control (ATC) domain. Furthermore, speed-up of up to 15-fold is obtained from the parallel platform which provides response times of a few seconds per sentence for the ATC domain.
Ieee Transactions on Computers
Chung, S. H.; Moldovan, D. I.; and Demara, R. F., "A Parallel Computational Model For Integrated Speech And Natural-Language Understanding" (1993). Faculty Bibliography. 1824.