References
- [1] Cvrček, V., and Vondřička, P. (2013). KWords. Praha. Accessible at: http://kwords.korpus.cz.
- [2] Matlach, V., Kubát, M., and Čech, R. (2014). QUITA – Quantitative Text Analyzer. Olomouc. Accessible at: https://code.google.com/archive/p/oltk/.
- [3] Libovický, J. (2016). KER – Keyword Extractor. Praha. Accessible at: https://lindat.mff.cuni.cz/services/ker/.
- [4] Pořízka, P. (2009). Olomouc Corpus of Spoken Czech: characterization and main features of the project. Linguistik online, 38(2), pages 35–43.10.13092/lo.38.505
- [5] Straka, M., and Straková, J. (2014). MorphoDiTa: Morphological Dictionary and Tagger. Praha. Accessible at: http://lindat.mff.cuni.cz/services/morphodita/.
- [6] Šmerk, P. (2009). Majka –Morphological Analysis of Czech. Brno. Accessible at: https://nlp.fi.muni.cz/czech-morphology-analyser/.
- [7] Stubbs, M. (1996). Text and Corpus Analysis. Oxford.
- [8] Scott, M., and Tribble, Ch. (2006). Textual Patterns. Key words and Corpus Analysis in Language Education. Amsterdam – Philadelphia.10.1075/scl.22
- [9] Anthony, L. (2019). AntConc. Tokyo. Accessible at: http://www.laurenceanthony.net/software.
- [10] Čech, R. (2016). Tematická koncentrace textu v češtině. Praha.
- [11] Rajaraman, A., Ullman, J.D. (2011). Data Mining. In Leskovec, J. et al., Mining of Massive Datasets. pages 1–17.10.1017/CBO9781139058452.002