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LR(1) Parser Generation System: LR(1) Error Recovery, Oracles, and Generic Tokens
A. Sorkin, Peter Donovan
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The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses. [PDF]
Wilton AR+10 more
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A neural machine translation method based on split graph convolutional self-attention encoding. [PDF]
Wan F, Li P.
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An empirical study of fault localisation techniques for deep neural networks. [PDF]
Humbatova N+4 more
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LR—Automatic Parser Generator and LR(1) Parser
IEEE Transactions on Software Engineering, 1981LR is an LR(1) parser generation system. It is written entirely in portable ANS1 standard Fortran 66 and has been successfully operated on a number of computers. LR uses a powerful algorithm of Pager's to generate a space efficient parser for any LR(1) grammar.
C. Wetherell, A. Shannon
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DR parsers: a generalization of LR parsers
Proceedings of the 1990 IEEE Workshop on Visual Languages, 2002A method is presented to construct a parser for a visual language whose specification can be done by a context-free grammar. The main idea is to allow a traditional LR parser to choose the next symbol to parse from a two-dimensional space. The positional grammar is defined, and some examples are given.
Costagliola G., Chang S. K.
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Information Processing Letters, 1988
Abstract An LR parser generated from an arbitrary grammar may be looping. A characterization is given for grammars that will never produce a looping LR parser. A testing algorithm is outlined, and its time complexity is analyzed.
Jorma Tarhio, Eljas Soisalon-Soininen
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Abstract An LR parser generated from an arbitrary grammar may be looping. A characterization is given for grammars that will never produce a looping LR parser. A testing algorithm is outlined, and its time complexity is analyzed.
Jorma Tarhio, Eljas Soisalon-Soininen
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