The structuralist tradition meets empirical data: Corpus data enhancing the Czech Internet Language Reference Book

0584073 - ÚJČ 2024 RIV GB eng J - Článek v odborném periodiku
Kováříková, D. - Beneš, Martin - Smejkalová, Kamila - Kovářík, O.
The structuralist tradition meets empirical data: Corpus data enhancing the Czech Internet Language Reference Book.
Word Structure. Roč. 16, 2/3 (2023), s. 233-257. ISSN 1750-1245. E-ISSN 1755-2036
Výzkumná infrastruktura: LINDAT/CLARIAH-CZ II - 90262
Institucionální podpora: RVO:68378092
Klíčová slova: Czech * codification * corpora * declension paradigm * defectiveness * GramatiKat * Internet Language Reference Book * overabundance * usage * word form variants
Obor OECD: Linguistics
Způsob publikování: Omezený přístup
https://www.euppublishing.com/doi/full/10.3366/word.2023.0230

This paper demonstrates how the corpus grammar tool GramatiKat can be used to improve and refine morphological information in the Internet Language Reference Book (ILRB), which presents complete declension paradigms for 45,632 standard Czech nouns. The paradigm tables are based mainly on morphological types, following structuralist conceptions of language as a fully articulated system. The paper discusses how to update the ILRB and provide users with empirically based grammatical information for individual word forms in each cell of the paradigm. All noun lemmas have been investigated using the GramatiKat tool for research into grammatical categories in Czech. The tool observes the distribution of word forms of a particular lexeme in comparison with the standard distribution across the whole word class. It is capable of identifying nouns that have an unusually high occurrence of a certain word form, as well as nouns with unattested word forms. GramatiKat is based on the data from two corpora of Czech written texts, SYN2015 and SYN2020 (200 million word tokens). The paper investigates the relationship between defectiveness and overabundance on one side and language variability and potentiality on the other. Based on the unique combination of data from the ILRB and GramatiKat, the paper suggests how information about unusually frequent or overabundant word forms as well as unattested ones should be pointed out, so that ILRB provides the user with accurate, empirically based data.
Trvalý link: https://hdl.handle.net/11104/0352105