Applying parallel processing to natural-language processing

Author

Chung, Minhwa ; Moldevan, D.

Author_Institution

Res. Center, Korea Telecom, Seoul, South Korea

Volume

9

Issue

1

fYear

1994

Firstpage

36

Lastpage

44

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;

fLanguage

English

Journal_Title

IEEE Expert

Publisher

ieee

ISSN

0885-9000

Type

jour

DOI

10.1109/64.295133

Filename

295133