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Pushdown Systems and Parsing Based on Them
Křesťan, Zdeněk ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
This thesis focuses on the use of deep pushdown automaton in parsing . This method overcomes the power of traditional context - free grammars . The predictive parsing algorithm, driven by LL table, is modified by the use of deep pushdown automaton . The modifications extended LL tables by adding depth , in order for tables to collaborate with the deep pushdown automaton .
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Parsing Based on Modified Pushdown Automata
Pluháček, David ; Lukáš, Roman (referee) ; Meduna, Alexandr (advisor)
The thesis introduces new models for formal languages, the m-limited state grammar and the deep pushdown automaton. Their basic definitions are presented, so is their mutual equivalence and the characteristics of the language family they describe. Following, a parsing method based on these models is presented. The method is an extension of a similar method used for context-free languages, the table driven parsing. The final part of the thesis describes the implementation of a parser based on the method.
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Parsing Based on State Grammars
Novotný, Miroslav ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
This thesis's main focus is parsing, based on state grammars. The goal is to create a program, that will be able to load the grammar from input file. Based on a loaded grammar, the program will create an LL table and parse an input file using this table. The next goal is to study properties of parsing, based on state grammars, while using a created program as a stand point. Part of the testing will also be grammar structures which are not context-free.
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Parsing Based on Modified Pushdown Automata
Pluháček, David ; Lukáš, Roman (referee) ; Meduna, Alexandr (advisor)
The thesis introduces new models for formal languages, the m-limited state grammar and the deep pushdown automaton. Their basic definitions are presented, so is their mutual equivalence and the characteristics of the language family they describe. Following, a parsing method based on these models is presented. The method is an extension of a similar method used for context-free languages, the table driven parsing. The final part of the thesis describes the implementation of a parser based on the method.
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|
|
Pushdown Systems and Parsing Based on Them
Křesťan, Zdeněk ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
This thesis focuses on the use of deep pushdown automaton in parsing . This method overcomes the power of traditional context - free grammars . The predictive parsing algorithm, driven by LL table, is modified by the use of deep pushdown automaton . The modifications extended LL tables by adding depth , in order for tables to collaborate with the deep pushdown automaton .
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|
|
Parsing Based on State Grammars
Novotný, Miroslav ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
This thesis's main focus is parsing, based on state grammars. The goal is to create a program, that will be able to load the grammar from input file. Based on a loaded grammar, the program will create an LL table and parse an input file using this table. The next goal is to study properties of parsing, based on state grammars, while using a created program as a stand point. Part of the testing will also be grammar structures which are not context-free.
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