National Repository of Grey Literature 48 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
Parsing Based on Multigeneration
Kyjovská, Linda ; Přikryl, Zdeněk (referee) ; Lukáš, Roman (advisor)
This work deals with syntax analysis problems based on multi-generation. The basic idea is to create computer program, which transforms one input string to n -1 output strings. An Input of this program is some plain text file created by user, which contains n grammar rules. Just one grammar from the input file is marked as an input grammar and others n -1 grammars are output grammars. This program creates list of used input grammar rules for an input string and uses corresponding output grammar rules for the creation of n -1 output strings. The program is written in C++ and Bison
Parsing Based on Grammar Systems
Sedmík, Adam ; Klobučníková, Dominika (referee) ; Meduna, Alexandr (advisor)
This thesis is focused on grammar systems and syntax analysis. Thesis introduces cooperating distributed and parallel communicating grammar systems. Based on knowledge of grammar systems, new grammar system is introduced. This grammar system focuses on modularization of syntax analysis. Shown are two methods of syntax analysis, recursive descent parsing and precedence parsing. Grammar systems introduced are demonstrated on syntax analysis of custom programming language.
Transformation of Grammars into Normal Forms
Klapuchová, Mirka ; Koutný, Jiří (referee) ; Zemek, Petr (advisor)
This thesis deals with issues of normal forms from theory of formal languages. Basic terms from this area are listed here, different types of grammars as well and especially normal forms and algorithms that transfer grammars into normal forms. Description of design and implementation of program which is used to transfer input grammar into entered normal form is included.
Parsing Based on Deep Pushdown Automata
Senko, Jozef ; Vrábel, Lukáš (referee) ; Solár, Peter (advisor)
This thesis is concerning with syntax analysis based on deep pushdown automata. In theoretical part are defined themselves deep pushdown automata, all the necessary theoretical concepts and then is discussed the implementation of these deep pushdown automata embedded in the educational program for students.
General System for Testing of Interprets
Drahošová, Michaela ; Koutný, Jiří (referee) ; Lukáš, Roman (advisor)
This work deals with concept and implementation of General system for testing of interprets. Testing of interprets is based on the principle of comparation of results of the interpretation carried out by the testing with reference results. The set of testing programmes is acquired by translating testing programmes, in the reference language to programmes in the language of tested interpret. The testing system enables generation of a testing set of programmes for an interpret according input and reference result after a preceding analysis of a file consisting of description of the syntax and semantics of the interpret's language. These actions result is translation of a more complex programming language to another.
Parsing Based on State Grammars
Svatý, Lukáš ; Vrábel, Lukáš (referee) ; Solár, Peter (advisor)
Syntax-directed translation based on state grammars is introduced in this bachelor's thesis. Theoretical section of this thesis is focused on the introduction of theoretical models that are necessary for understanding syntax analysis based on state grammars. The most important theoretical formal models in this thesis include deep pushdown transducer and translation grammar based on state grammar, which can be used in syntax analysis. Practical section of this thesis is focused on bottom-up syntax analysis using state grammar and its implementation.
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.
Deep Syntax-Directed Translation
Senko, Jozef ; Kučera, Jiří (referee) ; Meduna, Alexandr (advisor)
This thesis is a continuation of my bachelor thesis, which is dedicated to syntax analysis based on deep pushdown automata. In theorical part of this thesis is defined everything fundamental for this work, for example deep syntax-directed translation, pushdown automata, deep pushdown automata, finite transducer and deep pushdown transducer.   The second part of this thesis is dedicated to the educational program for students of IFJ. In this part is defined strucure of this program and its parts. All part of program are analyzed from a theoretical and practical point of view.
Using structural method for objects recognition
Valsa, Vít ; Heriban, Pavel (referee) ; Šťastný, Jiří (advisor)
This diploma thesis deals with posibilities of using structural methods for recognition objects in a picture. The first part of this thesis describes methods for preparing the picture before processing. The core of the whole thesis is in chapter 3, where is analyzed in details the problem of the formation of deformation grammars for parsing and their using. In the next part is space for syntactic parser describing the deformation grammar. The conclusion is focused on testing the suggested methods and their results.
Parsing Based on Programmed Grammars
Pačes, Jan ; Solár, Peter (referee) ; Meduna, Alexandr (advisor)
This thesis is researching methods of parsing based on programmed grammars. It modifies known algorithm of table driven non-recursive predictive parser for context-free grammars and applies it on programmed grammars. It studies strength of this method, focusing on some languages which are not context-free.

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