Unpacking lexical intertextuality: Vocabulary shared among texts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F22%3A10452153" target="_blank" >RIV/00216208:11210/22:10452153 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1515/9783110763560-009" target="_blank" >https://doi.org/10.1515/9783110763560-009</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/9783110763560-009" target="_blank" >10.1515/9783110763560-009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unpacking lexical intertextuality: Vocabulary shared among texts

Popis výsledku v původním jazyce

This paper focuses on lexical intertextuality, namely the three following intertextual properties: 1) the number of word-types shared by two texts; 2) the number of word-types shared by all texts in a collection; 3) the number of wordtypes shared by equal-sized segments of a collection. We have observed that the relation between the number of texts and the number of shared types follows a power law; similar behavior can be seen if text borders are disregarded and the corpus is artificially divided into equal-sized segments. The number of shared types is proportional to the size of these sequences. We developed baseline models for the number of shared types, i.e. models predicting the number of types shared by texts if all tokens were randomly shuffled and evenly spread among texts. The comparison between the empirical data and the baseline model can be used for contrastive purposes, to compare the number of shared types in corpora of different languages.

Název v anglickém jazyce

Unpacking lexical intertextuality: Vocabulary shared among texts

Popis výsledku anglicky

This paper focuses on lexical intertextuality, namely the three following intertextual properties: 1) the number of word-types shared by two texts; 2) the number of word-types shared by all texts in a collection; 3) the number of wordtypes shared by equal-sized segments of a collection. We have observed that the relation between the number of texts and the number of shared types follows a power law; similar behavior can be seen if text borders are disregarded and the corpus is artificially divided into equal-sized segments. The number of shared types is proportional to the size of these sequences. We developed baseline models for the number of shared types, i.e. models predicting the number of types shared by texts if all tokens were randomly shuffled and evenly spread among texts. The comparison between the empirical data and the baseline model can be used for contrastive purposes, to compare the number of shared types in corpora of different languages.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Quantitative Approaches to Universality and Individuality in Language

ISBN

978-3-11-076356-0

Počet stran výsledku

15

Strana od-do

101-115

Počet stran knihy

237

Název nakladatele

De Gruyter Mouton

Místo vydání

Deutschland

Kód UT WoS kapitoly

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