Title :
Applying parallel processing to natural-language processing
Author :
Chung, Minhwa ; Moldevan, D.
Author_Institution :
Res. Center, Korea Telecom, Seoul, South Korea
Abstract :
Massively parallel computers offer not only improved speed but also a new perspective on computer vision, production systems, neural networks, and other AI applications. However, not much work has been done to apply parallel processing to natural-language processing, even though most sequential natural-language systems slow down as knowledge bases grow to realistic sizes and as linguistic features are added to handle special cases. To demonstrate the potential of parallel systems for natural-language processing, we selected an inherently parallel knowledge representation and reasoning method (marker-passing in a semantic network) and then developed a natural-language processor based on it. We implemented the memory-based parsing system/spl minus/called Parallel/spl minus/on a marker-passing parallel computer especially designed for natural-language processing.<>
Keywords :
grammars; inference mechanisms; knowledge based systems; natural language interfaces; natural languages; parallel machines; parallel programming; semantic networks; AI applications; Parallel; knowledge bases; linguistic features; marker-passing; marker-passing parallel computer; massively parallel computers; memory-based parsing system; natural-language processing; parallel knowledge representation; parallel processing; parallel reasoning; reasoning method; semantic network; Application software; Artificial intelligence; Computer networks; Computer vision; Concurrent computing; Knowledge representation; Neural networks; Parallel processing; Process design; Production systems;
Journal_Title :
IEEE Expert
