Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Re-engineering needs generic programming language technology
ACM SIGPLAN Notices
An efficient context-free parsing algorithm
Communications of the ACM
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Compiling language definitions: the ASF+SDF compiler
ACM Transactions on Programming Languages and Systems (TOPLAS)
Even faster generalized LR parsing
Acta Informatica
The theory of parsing, translation, and compiling
The theory of parsing, translation, and compiling
Deterministic Techniques for Efficient Non-Deterministic Parsers
Proceedings of the 2nd Colloquium on Automata, Languages and Programming
CC '99 Proceedings of the 8th International Conference on Compiler Construction, Held as Part of the European Joint Conferences on the Theory and Practice of Software, ETAPS'99
The Grammar Tool Box: A Case Study Comparing GLR Parsing Algorithms
Electronic Notes in Theoretical Computer Science (ENTCS)
CC'03 Proceedings of the 12th international conference on Compiler construction
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Reduction Incorporated (RI) recognisers and parsers deliver high performance by suppressing the stack activity except for those rules that generate fully embedded recursion. Automaton constructions for RI parsing have been presented by Aycock and Horspool [John Aycock and Nigel Horspool. Faster generalised LR parsing. In Compiler Construction, 8th Intnl. Conf, CC'99, volume 1575 of Lecture Notes in Computer Science, pages 32 - 46. Springer-Verlag, 1999] and by Scott and Johnstone [Adrian Johnstone and Elizabeth Scott. Generalised regular parsers. In Gorel Hedin, editor, Compiler Construction, 12th Intnl. Conf, CC'03, volume 2622 of Lecture Notes in Computer Science, pages 232-246. Springer-Verlag, Berlin, 2003] but both can yield very large tables. An unusual aspect of the RI automaton is that the degree of stack activity suppression can be varied in a fine-grained way, and this provides a large family of potential RI automata for real programming languages, some of which have manageable table size but still show high performance. We give examples drawn from ANSI-C, Cobol and Pascal; discuss some heuristics for guiding manual specification of stack activity suppression; and describe work in progress on the automatic construction of RI automata using profiling information gathered from running parsers: in this way we propose to optimise our parsers' table size against performance on actual parsing tasks.