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A stochastic approach to parsing
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Article Free Access Share on A stochastic approach to parsing Author: Geoffrey Sampson University of Leeds University of LeedsView Profile Authors Info & Claims COLING '86: Proceedings of the 11th coference on Computational linguisticsAugust 1986 Pages 151–155https://doi.org/10.3115/991365.991407Online:25 August 1986Publication History 11citation210DownloadsMetricsTotal Citations11Total Downloads210Last 12 Months42Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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“The Natural Language Processing communityhas moved to the use of stochastic grammars to overcome these problems.”
From FREQUENCY EFFECTS IN LANGUAGE PROCESSING: A Review with Implications for Theories of Implicit and Explicit Language Acquisition (2002) · cites this paper as Sampson, 1986
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A learning algorithm for Boltzmann machines
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science · doi:10.1207/s15516709cog0901_7 · Cited by 3,402
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Ellis, N. C. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002024 · Cited by 2,230
Metadata
- Authors
- Sampson, G.
- Affiliations
- University of Leeds (GB)
- Corresponding author
- Sampson, Geoffrey
- Venue
- Proceedings of the 11th coference on Computational linguistics -
- Published
- 1986
- Pages
- 151
- ISSN
- 1525-2477 (ISSN-L)
- OpenAlex
- W2021021293
- Cited by
- 40
- References
- 1
- Citations by year
- 2024: 1 · 2019: 2 · 2017: 1 · 2015: 2
- FWCI
- 2.33
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Conference on Computational Linguistics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- stochastic parsing, syntactic analysis, probabilistic grammars, natural language parsing
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