|
|
Systems of Sequential Grammars Applied to Parsing
Repík, Tomáš ; Solár, Peter (referee) ; Meduna, Alexandr (advisor)
This thesis examines Grammar systems as the potentially more powerful tool for parsing as the simple grammars. The intention is to adapt theoretical models of grammar systems for parsing. New methods are introduced, with focus on determinism in order to prevent backtracking during parsing. The basis for the parser is a cooperating distributed grammar system. The implementation uses predictive, top-down parsing method, LL(1)Tables, and recursion as well. The parser is universal, usable for any LL-Grammar and for any grammar system based on them.
|
|
|
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 .
|
|
|
Syntactic Analysis Based on Matrix Grammar
Brindza, Dominik ; Horáček, Petr (referee) ; Zámečníková, Eva (advisor)
The subject of this thesis is to develop a method of syntactic analysis based on matrix grammar s. In its theoretical part we provide various analytical aspects for this type of regulated grammar in order to reveal the common background as well as search for similarities with the classical context-free grammars which we will then be able to benefit from in the practical part. Our goal is to extend the well-known predictive method of syntactic analysis to further accept a wider spectrum of formal languages - some of the context-sensitive ones which we are able to generate using our matrix grammars. Besides this main effort we also present some experimental algorithms and suggestions hich could be used in further research of this project.
|
|
|
Systems of Sequential Grammars Applied to Parsing
Repík, Tomáš ; Solár, Peter (referee) ; Meduna, Alexandr (advisor)
This thesis examines Grammar systems as the potentially more powerful tool for parsing as the simple grammars. The intention is to adapt theoretical models of grammar systems for parsing. New methods are introduced, with focus on determinism in order to prevent backtracking during parsing. The basis for the parser is a cooperating distributed grammar system. The implementation uses predictive, top-down parsing method, LL(1)Tables, and recursion as well. The parser is universal, usable for any LL-Grammar and for any grammar system based on them.
|
|
|
Syntactic Analysis Based on Matrix Grammar
Brindza, Dominik ; Horáček, Petr (referee) ; Zámečníková, Eva (advisor)
The subject of this thesis is to develop a method of syntactic analysis based on matrix grammar s. In its theoretical part we provide various analytical aspects for this type of regulated grammar in order to reveal the common background as well as search for similarities with the classical context-free grammars which we will then be able to benefit from in the practical part. Our goal is to extend the well-known predictive method of syntactic analysis to further accept a wider spectrum of formal languages - some of the context-sensitive ones which we are able to generate using our matrix grammars. Besides this main effort we also present some experimental algorithms and suggestions hich could be used in further research of this project.
|
|
|
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 .
|
guest ::
