National Repository of Grey Literature 251 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
English Past Conditional and the Errors of Czech Advanced Learners of English
Kovandová, Marie ; Malá, Markéta (advisor) ; Jančovičová, Ivana (referee)
The present work studies the uses of the English past conditional and problems it poses for Czech advanced learners of English. The correspondences between the English past conditional and its Czech translation counterparts are explored using a parallel translation corpus. This analysis shows patterns of translation correspondence and confirms that the English past conditional most frequently corresponds to the Czech present conditional. It also presents different ways of expressing the condition in both languages. The results then serve as a basis for a test administered to the students of the first year of the English studies Bc. programme at the Faculty of Education, Charles University. The answers of students are described and evaluated and suggest that they are quite proficient with conditionals. According to the results, the most difficult sentences are those where the past conditional is appropriate in English, but the present conditional is used in Czech. Additionally, where the condition is expressed in a way other than by a conditional clause (e.g., adverbial, implied, etc.). Other influences are also taken into account. The analysis is based on 50 examples gathered from the parallel corpus InterCorp available through the Czech National Corpus website and 60 students' responds. KEYWORDS...
Interjection in Spanish and English: a contrastive analysis.
CHOUROVÁ, Anna
The subject of this bachelor thesis is the issue of the word class interjection. The thesis aims to analyse the conception of this part of speech in Spanish and Czech and to conduct a contrastive analysis. The thesis consists of two parts: theoretical and practical. The theoretical part discusses interjections from the perspective of Spanish and Czech grammar books. The practical part focuses on the contrastive analysis conducted using a corpus. The corpus analysis is evaluated in conclusion. The thesis is written in Czech language.
Constructions Verbonominales in Specialized Texts from the Contrastive Perspective (Czech and Spanish)
KOSTUDISOVÁ, Simona
This master's thesis is called Verbonominal Constructions in Specialized Texts in Contrastive Perspective (Spanish-Czech) and its aim is to perform a contrastive analysis of verbonominal constructions in Spanish specialized texts. It consists of two parts - a theoretical part and a practical part. The theoretical part focuses on defining this phenomenon from the perspective of both languages and in terms of formal, functional and translation points of view. It also briefly examines the linguistic aspects of Spanish specialized texts. The practical part is based on working with the latest version of the InterCorp parallel corpus, which is used to perform a translation analysis of the means of expression used for translating these constructions from Spanish into Czech.
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.
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.
Function Generator with FITkit
Bartoš, Pavel ; Drábek, Vladimír (referee) ; Herrman, Tomáš (advisor)
This work deals with generation and detection of square, sine, triangle and saw-tooth waveforms using D/A converter of FITkit. Includes description of PS/2 communications protocol and description of LCD display.
Machine Learning for Natural Language Question Answering
Sasín, Jonáš ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
This thesis deals with natural language question answering using Czech Wikipedia. Question answering systems are experiencing growing popularity, but most of them are developed for English. The main purpose of this work is to explore possibilities and datasets available and create such system for Czech. In the thesis I focused on two approaches. One of them uses English model ALBERT and machine translation of passages. The other one utilizes the multilingual BERT. Several variants of the system are compared in this work. Possibilities of relevant passage retrieval are also discussed. Standard evaluation is provided for every variant of the tested system. The best system version has been evaluated on the SQAD v3.0 dataset, reaching 0.44 EM and 0.55 F1 score, which is an excellent result compared to other existing systems. The main contribution of this work is the analysis of existing possibilities and setting a benchmark for further development of better systems for Czech.
Encyclopedia Expert
Krč, Martin ; Schmidt, Marek (referee) ; Smrž, Pavel (advisor)
This project focuses on a system that answers questions formulated in natural language. Firstly, the report discusses problems associated with question answering systems and some commonly employed approaches. Emphasis is laid on shallow methods, which do not require many linguistic resources. The second part describes our work on a system that answers factoid questions, utilizing Czech Wikipedia as a source of information. Answer extraction is partly based on specific features of Wikipedia and partly on pre-defined patterns. Results show that for answering simple questions, the system provides significant improvements in comparison with a standard search engine.
Commented Translation: Measurements in Electrotechnics and Audiotechnics
Šustrová, Pavlína ; Krhutová, Milena (referee) ; Kotásek, Miroslav (advisor)
Předmětem této práce je komentovaný překlad instruktá- žního textu používaného v univerzitních kurzech Měření v elektrotechnice a Měření v audiotechnice. Překlad byl vytvořen pro potřeby budoucích zahraničních studentů navštěvujících uvedené kurzy. Komentář uvádí důvody motivace k provedení překladu, překladatelské teorie a pohledy aplikované během překladu, potíže ke kterým v průběhu došlo a jejich individuální řešení, včetně konkrétních příkladů, a stručnou lingvistickou analýzu textu. Kromě samotného překladu tato práce představuje koncept slovníčků které by doprovázely každý laboratorní návod v textu. Finální verze překladu je připravena k posouzení, zda může být použita jako oficiální studijní materiál.
Identification of emotional state using speech signal analysis
Navrátil, Michal ; Atassi, Hicham (referee) ; Smékal, Zdeněk (advisor)
The diploma thesis deals with the analysis of human emotional states speaker by the help of analyse speech signals. The thesis has two parts. In the first part, the process of speech generating is described in addition to the description of the commonly used pre-processing methods such as denoising or preemphasis. The first part also deals with the major and minor prosody features, these features are: the fundamental frequency, energy, spectral features and time domain features such as the speech rate. The second part of this thesis deals with a task of emotion recognition from the speech signal. When we accumulate sufficient of the number of recordings emotive state will be able to rekognize emotive state with high probability. All project is prepared for use in real time. The last part of this thesis thesis contains description and results of the experiments made on a large number of speech records.

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