Dataset for Temporal Analysis of English-French Cognates

Esteban Frossard, Mickaël Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Languages change over time and, thanks to the abundance of digital corpora, their evolutionary analysis using computational techniques has recently gained much research attention. In this paper, we focus on creating a dataset to support investigating the similarity in evolution between different languages. We look in particular into the similarities and differences between the use of corresponding words across time in English and French, two languages from different linguistic families yet with shared syntax and close contact. For this we select a set of cognates in both languages and study their frequency changes and correlations over time. We propose a new dataset for computational approaches of synchronized diachronic investigation of language pairs, and subsequently show novel findings stemming from the cognate-focused diachronic comparison of the two chosen languages. To the best of our knowledge, the present study is the first in the literature to use computational approaches and large data to make a cross-language diachronic analysis.
Originalspråkengelska
Titel på gästpublikationTwelfth International Conference on Language Resources and Evaluation (LREC 2020) : May 11-16, 2020 PALAIS DU PHARO Marseille, France : Conference Proceedings
RedaktörerNicoletta Calzolari ... [et al.]
Antal sidor5
UtgivningsortParis
FörlagEuropean Language Resources Association (ELRA)
Utgivningsdatum13 maj 2020
Sidor855–859
ISBN (tryckt)979-10-95546-34-4
StatusPublicerad - 13 maj 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangInternational Conference on Language Resources and Evaluation - Marseille, Frankrike
Varaktighet: 11 maj 202016 maj 2020
Konferensnummer: 12

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 6121 Språkvetenskaper

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