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Parsing Based on Scattered Context Grammars
Horníček, Ondřej ; Solár, Peter (referee) ; Zámečníková, Eva (advisor)
This work deals with new possibilities in parsing based on advanced formal models, specifically using scattered context grammars in syntactic analysis. Context-sensitive language was created for comparing different methods of syntactic analysis, where these grammars are used. In conclusion is discussed possible use in practise, paralell parsing, pros and cons and further investigation.
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Demonstration Program of LL Table Construction
Choleva, Ondřej ; Křivka, Zbyněk (referee) ; Zámečníková, Eva (advisor)
This work deals with desing and subsequent implementation of educational application for construction of LL table on given grammar basis. This table is used by predictive LL parser. A part of this application is also a demonstration of parsing using table driven parser. Application off ers possibility of stepping of all partial algorithms and their visualization in a graphical user interface. By development of application the request for portability was satisfied by choosing an appropriate multiplatform library.
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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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Structural Methods of Objects Identification for Industrial Robot Operation
Minařík, Martin ; Šlapal, Josef (referee) ; Konečný, Vladimír (referee) ; Šťastný, Jiří (advisor)
This PhD thesis deals with the use of structural methods of objects identification for industrial robots operation. First, the present state of knowledge in the field is described, i.e. the whole process of objects recognition with the aid of common methods of the syntactic analysis. The main disadvantage of these methods is that is impossible to recognize objects whose digitalized image is corrupted in some ways (due to excessive noise or image disturbances), objects are therefore deformed. Further, other methods for the recognition of deformed objects are described. These methods use structural description of objects for object recognition, i.e. methods which determine the distance between attribute descriptions of images. The core part of this PhD thesis begins in Chapter 5, where deformation grammars, capable of description of all possible object deformations, are described. The only complication in the analysis is the ambiguity of the deformation grammar, which lowers the effectiveness of the analysis. Further, PhD thesis deals with the selection and modification of a proper parser, which is able to analyze a deformation grammar effectively. Three parsers are described: the modified Earley parser, the modified Tomita parser and the modified hybrid LRE(k) parser. As for the modified Earley’s parser, ways of its effective implementation are described. One of the necessary parts of the object recognition is providing the invariances, which this PhD thesis covers in detail, too. Finally, the results of described algorithms are mentioned (successfulness and speed of deformed objects recognition) and suggested testing environment and implemented algorithms are described. In conclusion, all determined possibilities of deformation grammars and their results are summarized.
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Script Language for Image Processing
Zuzaňák, Jiří ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
This thesis deals with design of scripting language, especially specified for effective image processing. Introduction of this thesis is focused on studying and also appropriation of methodology of compilers and interpreters design, include their following application in design of the scripting language and as well its interpreter. Another point of my work is showing the methods of design and implementation of the interpreter including automated methods used in the design of the implemented program. Next part deals with description of structure and implementation of the designed program, intended for generating compiler of any language which is described in input of this program. The conclusion of this work is more detailing description of the scripting language design; its implementation is based on the methods mentioned before.
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Jumping Language Models
Ošmera, Lubomír ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
The main goal of this master thesis is introduction and investigation of extended version of jumping automata and grammars. New versions are primarily focused on bioinformatic applications - DNA computing. This thesis examine their power and other properties of new models and makes comparison with existing computer science models. Then thesis demontrates practical applications, specifically amino acid and protein detections inside DNA sequence and makes comparision with existing tools in DNA computing for example Mark´s probabilistic models.
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