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| ASCII Text | x | ||
| Minhwa Chung, Dan Moldevan, "Applying Parallel Processing to Natural-Language Processing," IEEE Intelligent Systems, vol. 9, no. 1, pp. 36-44, February, 1994. | |||
| BibTex | x | ||
| @article{ 10.1109/64.295133, author = {Minhwa Chung and Dan Moldevan}, title = {Applying Parallel Processing to Natural-Language Processing}, journal ={IEEE Intelligent Systems}, volume = {9}, number = {1}, issn = {0885-9000}, year = {1994}, pages = {36-44}, doi = {http://doi.ieeecomputersociety.org/10.1109/64.295133}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Applying Parallel Processing to Natural-Language Processing IS - 1 SN - 0885-9000 SP36 EP44 EPD - 36-44 A1 - Minhwa Chung, A1 - Dan Moldevan, PY - 1994 VL - 9 JA - IEEE Intelligent Systems ER - | |||
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.