Natalia Dankova


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2024

pdf bib
Lexical Richness of French and Quebec Journalistic Texts
Natalia Dankova
Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)

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.
Search
Co-authors
    Venues
    Fix data