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L-attributed LL(1)-grammars are LR-attributed
Information Processing Letters, 1986 Ikuo Nakata, Masataka Sassa
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YooccLa: a parser generator for L-attributed grammars
2022This paper argues that a parser generator can be developed that requires less knowledge of parser technology than most existing parser generators;that can bring parser technology within the reach of more software engineers;and that can allow a parser to be used where a designer might otherwise have chosen a fully procedural solution. A parser generator,
Butler, G, Mingins, C
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An Efficient Attribute Evaluation Method for All L-Attributed LR Grammars
, 1991 Petr Pavlů
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Large Language Models Demonstrate the Potential of Statistical Learning in Language
Cognitive Science, 2023exaly
Demonstratives, joint attention, and the emergence of grammar
Cognitive Linguistics, 2006Holger Diessel
exaly
Non‐adjacent Dependency Learning in Humans and Other Animals
Topics in Cognitive Science, 2020Benjamin Wilson +2 more
exaly