National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Pragmatic lemmatizer of Czech language
Vacek, Matěj ; Strossa, Petr (advisor) ; Kliegr, Tomáš (referee)
This thesis is focused on lemmatizing of nouns and adjectives. It is based on morphology of Czech language. The goal is to create a lemmatizer which can stem words with success rate 90% (at least). At the same time the lemmatizer should be very easy, it should consist as little rules as possible. Lemmatizer will be created to work with real estate adverts, especially houses for sale. In this thesis there will be made an analysis of specific characters of this area. Lemmatizer will be created according to results of this analysis. Lemmatizer was written in Java. Only three types of rules were used and generally the lemmatizer created correct stems in 96.4% of all words.
Visualisation of musical notation using XML technologies
Vacek, Matěj ; Kosek, Jiří (advisor) ; Šimůnek, Milan (referee)
This thesis focuses on the visualization of musical notation. Even for such a small group of data, there is a specification (MusicXML) which can be used for converting between different softwares. The development of musical notation has been going on for centuries and it has become very complex by now, because composers want to express all their thoughts. Therefore, I have decided to limit the supported part of musical notation and in this thesis, I will focus only on the area of simple Czech folk songs, which have their own specifics. The songs will be displayed in SVG format. This format is based on vector graphics. Transfer between the original and SVG file will be implemented by using XSLT transformation, which is created in this thesis. As far as I am concerned, there is no such already existing transformation.

See also: similar author names
6 VACEK, Martin
6 VACEK, Michal
2 Vacek, Marek
6 Vacek, Martin
2 Vacek, Maxim
6 Vacek, Michal
2 Vacek, Milan
2 Vacek, Miloš
Interested in being notified about new results for this query?
Subscribe to the RSS feed.