Czech National Corpus data provides the basis for grammatical profiles of 65 high-frequency Czech nouns describing emotions. The analysis visualizes case distribution patterns using correspondence analysis to group emotion nouns by grammatical behavior. This dataset supports a presentation and article by Dominika Kováříková and Laura Alexis Janda for the XXII EURALEX International Congress in 2026.
Use Cases
- Analyze semantic field structure based on grammatical case distribution patterns mentioned in the description
- Train models for lexical semantics based on usage-based grammatical and collocational behavior
- Compare lexicographic descriptions of emotion-related lexemes with corpus-derived patterns
- Visualize relationships between emotion nouns using correspondence analysis on case profiles
Strengths
- Focuses on 65 high-frequency Czech emotion nouns, each with over 1000 attestations in the Czech National Corpus
- Applies correspondence analysis to visualize structured relationships within the semantic field
- Builds on established linguistic theories of the lexicon as a network of interrelated items
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Freshness should be verified as the last metadata update was 2026-05-17
Provenance
- Source
- Czech National Corpus
- Collection Method
- Analysis of grammatical profiles (relative distribution of morphological cases) from corpus data
- Freshness
- Last updated 2026-05-17 10:10:09
- Geography
- Czech Republic