Cited by 935semigroups and automata theoryAlgorithms and Data CompressionSyntax, Semantics, Linguistic Variation

Recognition and parsing of context-free languages in time n3

Open access
Younger, Daniel H.·1967·Information and Control

Integrity signals

Registry

Crossref · 10.1016/s0019-9958(67)80007-x

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11 of 11 references verified0 citation errors · 0 not checkable

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  • The standard RNA secondary structure prediction problem can be cast as a parsing problem and solved by the CKY algorithm.

    “Thus, the standard RNA secondary structure prediction problem can be cast as a parsing problem: given the above SCFG and an input RNA sequence, find the minimum-weight derivation in that can generate the sequence. This can be solved by the classical CKY algorithm from computational linguistics41–43.”

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Authors
Younger, D. H.
Affiliations
General Electric (United States) (US)
Corresponding author
Younger, Daniel H.
Venue
Information and Control
Publisher
Elsevier BV
Published
1967-02
Volume
10
Issue
2
Pages
189-208
ISSN
0019-9958 (ISSN-L)
OpenAlex
W1970961429
Cited by
935
References
11
Citations by year
2026: 3 · 2025: 13 · 2024: 11 · 2023: 17 · 2022: 19 · 2021: 37 · 2020: 35 · 2019: 32 · 2018: 26 · 2017: 28 · 2016: 37 · 2015: 28 · 2014: 21 · 2013: 36 · 2012: 35
FWCI
10.29
Type
journal article
Language
en
Open access
Locations
Information and Control (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › semigroups and automata theory
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
  • Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
Keywords
context-free languages, string recognition, syntactic analysis, cubic time algorithm, syntactic ambiguity, Turing machine simulation, computational complexity, grammatical analysis

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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