Issue No. 01 - February (1994 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.295133
<p>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.</p>
M. Chung and D. Moldevan, "Applying Parallel Processing to Natural-Language Processing," in IEEE Intelligent Systems, vol. 9, no. , pp. 36-44, 1994.