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Language Modeling for Spech Recognition in Czech
Mikolov, Tomáš ; Černocký, Jan (referee) ; Smrž, Pavel (advisor)
This work concerns the problematic of language modeling in automatic speech recognition. Currently widely used techniques for advanced language modeling based on statistical approach are described in the first part of work - class based language models, factored language models and neural network based language models. In the next section, implementation of neural network based language model is described. Results obtained on "Pražský mluvený korpus" and "Brněnský mluvený korpus" corpora (1 170 000 words) are reported, with perplexity reduction around 20%. Also, results obtained after rescoring N-best lists with spontaneous speech are reported, with absolute improvement in accuracy by more than 1%. In the conclusion, possible uses of the work are mentioned, along with possible extensions in the future. Finally, main weaknesses of current statistical language modeling techniques are described.
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Word Sense Disambiguation
Kraus, Michal ; Glembek, Ondřej (referee) ; Smrž, Pavel (advisor)
The master's thesis deals with sense disambiguation of Czech words. Reader is informed about task's history and used algorithms are introduced. There are naive Bayes classifier, AdaBoost classifier, maximum entrophy method and decision trees described in this thesis. Used methods are clearly demonstrated. In the next parts of this thesis are used data also described. Last part of the thesis describe reached results. There are some ideas to improve the system at the end of the thesis.
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Derivational Morphology of Czech on Large Corpus Data
Faltusová, Marie ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
Subject of this thesis is study of word formation in the Czech language. The main aim is to create a module acquiring derivations from data of the electronic Dictionary of the Czech Language. This problematics has been solved by constructing three-level processing based on dictionary data. The first level is to obtain derivations from lemma definitions, the second step is making groups of basic forms according to their similarities, and the third stage is the evaluation of derivation pairs by number tag of derivation class to which they belong. I have managed to get more than 4 500 new words and evaluate over 20 000 derivative couples. The module has become a full-fledged part of the Morphological Analyzer of the Knowledge Technology Research Group, working at the Faculty of Information Technology of the Brno University of Technology.
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Intonation of Czech Speakers When Speaking English
Houšť, Vítězslav ; Baumgartnerová, Alena (referee) ; Walek, Agata (advisor)
Intonace je často popisována jakožto pohyb výšek v mluvené řeči, který člověku pomáhá se slovním vyjádřením svých myšlenek. Tato bakalářská práce se zabývá možnými obtížemi s intonací, se kterými se může Čech setkat při mluvení anglicky, neboť mohou vést ke změně významu ním vyřčených slov. Cílem práce je se tyto potíže pokusit rozlišit, a to vysvětlením základních pojmů spojených s intonací, a jejich aplikací při porovnání nahrávek hlasů desíti Čechů vyslovujících osm anglických frází s nahrávkami stejných frází namluvenými čtyřmi rodilými mluvčími.
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Simple Czech Grammar Correcttor for OpenOffice
Ličko, Jozef ; Herout, Adam (referee) ; Smrž, Pavel (advisor)
The grammar of natural language is generally complex. Often, it is very difficult to describe it precisely in a formal way. There are several approaches to grammar correction using computer technologies. This thesis deals with the construction of a simple rule-based Czech grammar checker. It focuses on subordinate relative constructions. The corrector is designed to identify missing comma in them. If such a sentence is found the program proposes possible suggestions how to correct it. The application operates as a plugin for OpenOffice suite.
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Automatic Categorization of Unknown Words Based on Derivational Relations
Faltusová, Marie ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
This master thesis deals with the construction of a system for automatic classification of~unknown words based on derivation bonds. For this purpose, the system was designed to~extract derivative links based on electronic dictionaries and to create word-forming models from them. Based on this knowledge, it is then possible to incorporate unclassified words into existing nests formed from the obtained bonds, and their models, or create new ones. The reader will be gradually acquainted with the reasons that lead to the continuous transformation or expansion of the lexicon, the ways in which the words in~the~Czech language are derived and how to obtain information about the changes caused by this derivation process. This system builds on and extends the research of the branch of morphology in~the~project of a morphological analyzer of the Research Group of Knowledge Technologies, working at the Faculty of Information Technology of the Brno University of~Technology.
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Stemming of Czech Words
Hellebrand, David ; Bartík, Vladimír (referee) ; Chmelař, Petr (advisor)
The goal of this master's thesis is to develop stemming algorithm for czech language based on grammatical rules. You can find a description of stemming process and a comparsion of stemming algorithms in this project. The basics of czech grammar and Snowball language are also described here. The main part of this thesis concerns the implementation of the new czech stemming algorithm.
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Processing Czech in Python
Novotný, Zdeněk ; Schmidt, Marek (referee) ; Smrž, Pavel (advisor)
This bachorelor´s thesis presents some ways of Czech language processing. The first part contains a general destription of NLTK system. Some of aftermentioned functions were inspired by NLTK functions. There are described functions which attend to inflection and inflexion of various words class in Czech language. Next part is focused on processing of the text in Czech language in which are found and marked each sentences and other parts. Last part describes possibillity of tranformations rules application for each part of text. Results after rules application could be represented graphically.
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Phonetic transcription of Czech
Pavel, Lukáš ; Křupka, Aleš (referee) ; Sysel, Petr (advisor)
The goal is to create an application for automatic transcription of Czech language into a phonetic form. The first chapter of this thesis describes the basic phonetic units, alphabets and symbols, that phonetic alphabet uses. The second chapter describes in detail the rules of phonetic transcription of Czech language, including specific examples. Finally, in the third chapter is a description of the application created in C programming language, including flowcharts for better orientation in its functions.
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