谈浪漫主义时期的音乐——民族民间因素在19世纪捷克民族乐派作品中的体现

分析和阐释了斯关塔那与德沃夏克如何运用民族因素获得了作品的民族风格，进而深入探讨体现音乐创作的民族性的深层指导思想．     

Indexing and stemming approaches for the Czech language

This paper describes and evaluates various stemming and indexing strategies for the Czech language. Based on Czech test-collection, we have designed and evaluated two stemming approaches, a light and a more aggressive one. We have compared them with a no stemming scheme as well as a language-independent approach (n-gram). To evaluate the suggested solutions we used various IR models, including Okapi, Divergence from Randomness (DFR), a statistical language model (LM) as well as the classical tf idf vector-space approach. We found that the Divergence from Randomness paradigm tend to propose better retrieval effectiveness than the Okapi, LM or tf idf models, the performance differences were however statistically significant only with the last two IR approaches. Ignoring the stemming reduces generally the MAP by more than 40%, and these differences are always significant. Finally, if our more aggressive stemmer tends to show the best performance, the differences in performance with a light stemmer are not statistically significant.     

Inclusive education in the Czech Republic: A scoping review of a paradigm shift

This scoping review presents the historical, social, and international influences that shaped the gradual move from segregated to inclusive education for all children in the Czech Republic. The introduction of the 2016 amendment to the Education Act marked a decisive paradigm shift in education policy, which formed the legal basis for services and support measures to be made available for all children with special needs in local mainstream schools. We analysed Czech language and English language peer-reviewed specialist literature to see how these changes have been reflected in current education research. The eighteen studies reviewed provide a complex picture of facilitators and barriers at the level of inclusive culture, policy and practice. Even though progress towards inclusive education in the Czech Republic has been notable, there are still systemic and attitudinal barriers to the education of all children.     

Supervised sentiment analysis in Czech social media

This article describes in-depth research on machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in the case of the Czech language no systematic research has yet been conducted. We tackle this issue and establish a common ground for further research by providing a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methods for sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. We also experiment with five different feature selection algorithms and investigate the influence of named entity recognition and preprocessing on sentiment classification performance. Moreover, in addition to our newly created social media dataset, we also report results for other popular domains, such as movie and product reviews. We believe that this article will not only extend the current sentiment analysis research to another family of languages, but will also encourage competition, potentially leading to the production of high-end commercial solutions.     

中捷姓名文化比较

姓名是一种特殊的语言文化现象,本文从形式、起源、功能等方面对捷克语的姓名文化作出描写,并分析了中、捷两国在诸方面的特点,折射出两国社会历史、宗教信仰、文化传统的差异。     

从西波系米亚大学的发展看捷克高等教育变革

通过考察西波系米亚大学的改革与发展历史,分析捷克高等教育的现状,指出捷克高等教育未来的发展方向。