AbstractA new general context-free parsing algorithm is presented which runs in linear time and space on every LR(k) grammar without using any lookahead and without making use of the LR property. Most of the existing implementations of tabular parsing algorithms, including those using lookahead, can easily be adapted to this new algorithm without a noteworthy loss of efficiency. For some natural right recursive grammars both the time and space complexity will be improved from Ω(n2) to O(n). This makes this algorithm not only of theoretical but probably of practical interest as well
Parsing is the process of assigning structure to sentences. The structure is obtained from the gramm...
Algorithms are developed which construct from a given LL(l) grammar a recursive descent parser with ...
This thesis is an a ount of implementations of parsing algorithms for Linear Multiple Context-Free ...
AbstractA new general context-free parsing algorithm is presented which runs in linear time and spac...
The paper presents an efficiently parallel parsing algorithm for arbitrary contextfree grammars. Thi...
We show how LR parsers for the analysis of arbitrary contextfree grammars can be derived from classi...
Abstract. We show how LR parsers for the analysis of arbitrary contextfree grammars can be derived f...
AbstractWe present a practical technique for computing lookahead for an LR(0) parser, that progressi...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
Parsers for context-free grammars can be implemented directly and naturally in a functional style kn...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
AbstractLR parsers have long been known as being an efficient algorithm for recognizing deterministi...
Bottom up LR-parsing is the most powerful, practical method of linear time parsing known. Various at...
The generalized LR parsing algorithm for context-free grammars, invented by Tomita in 1986, is exten...
Parsing is the process of assigning structure to sentences. The structure is obtained from the gramm...
Algorithms are developed which construct from a given LL(l) grammar a recursive descent parser with ...
This thesis is an a ount of implementations of parsing algorithms for Linear Multiple Context-Free ...
AbstractA new general context-free parsing algorithm is presented which runs in linear time and spac...
The paper presents an efficiently parallel parsing algorithm for arbitrary contextfree grammars. Thi...
We show how LR parsers for the analysis of arbitrary contextfree grammars can be derived from classi...
Abstract. We show how LR parsers for the analysis of arbitrary contextfree grammars can be derived f...
AbstractWe present a practical technique for computing lookahead for an LR(0) parser, that progressi...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
Parsers for context-free grammars can be implemented directly and naturally in a functional style kn...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
A new approach to generalized parsing for context-free grammars is presented, which uses an underlyi...
AbstractLR parsers have long been known as being an efficient algorithm for recognizing deterministi...
Bottom up LR-parsing is the most powerful, practical method of linear time parsing known. Various at...
The generalized LR parsing algorithm for context-free grammars, invented by Tomita in 1986, is exten...
Parsing is the process of assigning structure to sentences. The structure is obtained from the gramm...
Algorithms are developed which construct from a given LL(l) grammar a recursive descent parser with ...
This thesis is an a ount of implementations of parsing algorithms for Linear Multiple Context-Free ...