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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378092%3A_____%2F23%3A00584073" target="_blank" >RIV/68378092:_____/23:00584073 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11210/23:10465205

Výsledek na webu

<a href="https://www.euppublishing.com/doi/full/10.3366/word.2023.0230" target="_blank" >https://www.euppublishing.com/doi/full/10.3366/word.2023.0230</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3366/word.2023.0230" target="_blank" >10.3366/word.2023.0230</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

<a href="/cs/project/LM2023044" target="_blank" >LM2023044: Český národní korpus</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Word Structure

ISSN

1750-1245

e-ISSN

1755-2036

Svazek periodika

16

Číslo periodika v rámci svazku

2/3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

25

Strana od-do

233-257

Kód UT WoS článku

001099547400005

EID výsledku v databázi Scopus

2-s2.0-85179302875