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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.
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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.
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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.
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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.
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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.
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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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Demonstration of Tree Controlled Grammars Properties
Kunštátský, Martin ; Čermák, Martin (referee) ; Koutný, Jiří (advisor)
Tree controlled grammars are grammars regulated by restriction placed on its derivation trees. It is simple and natural extension of context-free grammars. There are several types of derivation tree control, two principles are mentioned in this work: horizontal and vertical control. Application demonstrating tree controlled grammars properties, implemented in Python programming language, is also part of this work.
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On Erasing Rules in Regulated Grammars
Zemek, Petr ; Koutný, Jiří (referee) ; Meduna, Alexandr (advisor)
This work discusses the effect of erasing rules to the generative power of regulated grammars, which is a big open problem in the theory of regulated rewriting. It studies the possibility of removal of erasing rules from regulated grammars by aggregation of current, up-to-date results concerning this elimination and by presentation of a new condition, called k-limited erasing, under which all erasing rules can be always removed from regularly controlled context-free grammars without affecting their generative power. This result partially solves the abovementioned problem. Moreover, a new algorithm for elimination of erasing rules from context-free grammars is presented. This algorithm does not require any predetermination of so called epsilon-nonterminals (in contrast to the standard algorithm used in textbooks). In the conclusion, a significance of these results concerning syntactical analysis is discussed.
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Interactive Generator of Syntax of Heterogeneous Data Structures
Kotraš, Martin ; Janoušek, Vladimír (referee) ; Smrčka, Aleš (advisor)
Today, software systems are often composed of several components that transmit data through various communication channels. Despite the fact that there are a number of standardized data encoding formats, developers still create their own mostly with regard to the specific use of the software they create. One of the essential parts of quality verification or minimization of data transmission errors is the validation of input data. The first step to validation is to formalize a language describing data structures. The most general formalism for these purposes is the grammar of the language in the standard description, e.g. BNF, ABNF, or EBNF. However, creating a language-specific grammar can be a step that is sensitive to error for an inexperienced developer. The aim of this project is a simple application for creating grammar from a sample of data. The work solves the generation of grammar and validation code snippets from the sample string of the language, e.g. the source code of the programming language. The user solves the problem by sequentially marking parts of the uploaded string, naming them, and assigning properties to them. This is aided by tools for splitting rules, merging rule prefixes and/or suffixes, creating lists, and optimizing the resulting rules. As part of the work, a single-page web application was created, which was able to pass relatively well when tested on JSON and XML, and it was possible to create a more general grammar despite the problems with a weak parser. Thanks to this work, even less experienced users can create more general grammars of their strings and use them for validation purposes. In addition, the work provides a basis for further research in this area and is open to further improvement.
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Semi-Parallel Deep Pushdown Transducers and Their Applications
Putala, Marek ; Dolejška, Daniel (referee) ; Meduna, Alexandr (advisor)
The goal of this work was to become familiar with deep stack automata and, based on the acquired knowledge, to further design, formally define and implement a partially parallel deep stack transducer. It is an extension of deep stack transducer that is capable of accessing non-terminal symbols simultaneously on the stack in one step. With a suitably chosen configuration in the form of rules, they can process the input string with fewer transitions and therefore have a higher speed compared to deep stack transducer.
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