Lexical Richness of French and Quebec Journalistic Texts

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AXYVMN3VI" target="_blank" >RIV/00216208:11320/25:XYVMN3VI - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2024.clib-1.20" target="_blank" >https://aclanthology.org/2024.clib-1.20</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Lexical Richness of French and Quebec Journalistic Texts

Original language description

This paper presents some results of a quantitative study that focuses on the variety and word frequency in texts from a comparative perspective. The study aims to analyze and compare French and Quebec journalistic texts on political and cultural topics written in French and recently published in major newspapers such as Le Monde, le Figaro, Le Devoir, etc. The statistical analysis concerns the number of different words in the text, the number of different adjectives, the number of different verbs (and also passive structures, participles and gerunds which contribute to syntactic and stylistic sophistication), and the number of hapaxes. French texts from France exhibit greater lexical richness and sophistication: they contain more adjectives, a greater variety of adjectives, as well as more participles and gerunds compared to French texts from Quebec. The originality of the study lies in the fact that it analyzes variation in French using a lexicometric approach.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2024

Confidentiality

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

Article name in the collection

Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)

ISBN

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ISSN

2367-5578

e-ISSN

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Number of pages

5

Pages from-to

196-200

Publisher name

Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences

Place of publication

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Event location

Sofia, Bulgaria

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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