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Full LR(1) parser generation

ACM SIGPLAN Notices, 1981
Full LR(1) parser generation is discussed and shown to be useful and practical, in contrast to current widespread misconception.
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Complexity of Extended vs. Classic LR Parsers

2014
For the deterministic context-free languages, we compare the space and time complexity of their LR (1) parsers, constructed in two different ways: the classic method by Knuth [7] for BNF grammars, and the recent one by the authors [2], which directly builds the parser from EBNF grammars represented as transition networks.
A. Borsotti   +3 more
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Shift-reduce conflicts in LR parsers

ACM SIGPLAN Notices, 1989
In this note, the shift-reduce conflicts of LR(1) and LR(0) are compared. It is concluded that, if LR(1) has no shift-reduce conflicts, or, if the LR(1) shift-reduce conflicts are resolved in favor of the shift, then all shift-reduce conflicts of the corresponding LR(0) can be correctly resolved by the simple rule: resolve in favor of the shift.
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An Efficient LR Parser Generator for Tree Adjoining Grammars

International Workshop/Conference on Parsing Technologies, 2000
C. Prolo
semanticscholar   +1 more source

Syntax-Error Recovery in LR-parsers

1976
An efficient algorithm for error-recovery in LR-parsers is presented. The algorithm is capable of repairing all syntax errors without backtracking, in time proportional to the stack depth. It needs only a small table, a mapping from the states of the parser into the terminal symbols. The algorithm is very similiar to the parser itself. Thus, it has the
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Speech recognition by combining pairwise discriminant time-delay neural networks and predictive LR-parser

Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop, 1991
J. Takami, A. Kai, S. Sagayama
semanticscholar   +1 more source

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