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Cited by 443

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Massively parallel parsing: A strongly interactive model of natural language interpretation

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WALTZ, D, POLLACK, J·1985·Cognitive Science

Abstract

This is a description of research in developing a natural language processing system with modular knowledge sources but strongly interactive processing. The system offers insights into a variety of linguistic phenomena and allows easy testing of a variety of hypotheses. Language interpretation takes place on a activation network which is dynamically created from input, recent context, and long-term knowledge. Initially ambiguous and unstable, the network settles on a single interpretation, using a parallel, analog relaxation process. We also describe a parallel model for the representation of context and of the priming of concepts. Examples illustrating contextual influence on meaning interpretation and “semantic garden path” sentence processing, among other issues, are included.

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Metadata

Authors
WALTZ, D., & POLLACK, J.
Venue
Cognitive Science
Publisher
Wiley
Published
1985-03
Volume
9
Issue
1
Pages
51-74
ISSN
0364-0213 (ISSN-L)
OpenAlex
W2142131598
Cited by
443
References
2
FWCI
43.06
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Massively parallel parsing: A strongly interactive model of natural language interpretation. https://app.cochat.ai/papers/10.1016/s0364-0213(85)80009-4
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WALTZ, D., & POLLACK, J. (1985). Massively parallel parsing: A strongly interactive model of natural language interpretation. Cognitive Science. https://doi.org/10.1016/s0364-0213(85)80009-4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.