Dataset for Temporal Analysis of English-French Cognates

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dc.contributor.author Frossard, Esteban
dc.contributor.author Coustaty, Mickaël
dc.contributor.author Doucet, Antoine
dc.contributor.author Jatowt, Adam
dc.contributor.author Hengchen, Simon
dc.contributor.editor Calzolari ... [et al.], Nicoletta
dc.date.accessioned 2020-07-07T08:30:01Z
dc.date.available 2020-07-07T08:30:01Z
dc.date.issued 2020-05-13
dc.identifier.citation Frossard , E , Coustaty , M , Doucet , A , Jatowt , A & Hengchen , S 2020 , Dataset for Temporal Analysis of English-French Cognates . in N Calzolari ... [et al.] (ed.) , Twelfth International Conference on Language Resources and Evaluation (LREC 2020) : May 11-16, 2020 PALAIS DU PHARO Marseille, France : Conference Proceedings . European Language Resources Association (ELRA) , Paris , pp. 855–859 , International Conference on Language Resources and Evaluation , Marseille , France , 11/05/2020 . < http://www.lrec-conf.org/proceedings/lrec2020/LREC-2020.pdf >
dc.identifier.citation conference
dc.identifier.other PURE: 133231609
dc.identifier.other PURE UUID: 541befe7-d5e8-41d4-afc4-094d98e2f6f5
dc.identifier.other ORCID: /0000-0002-8453-7221/work/75563403
dc.identifier.other WOS: 000724697200107
dc.identifier.uri http://hdl.handle.net/10138/317395
dc.description.abstract 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. en
dc.format.extent 5
dc.language.iso eng
dc.publisher European Language Resources Association (ELRA)
dc.relation.ispartof Twelfth International Conference on Language Resources and Evaluation (LREC 2020)
dc.relation.isversionof 979-10-95546-34-4
dc.rights cc_by_nc
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.subject 6121 Languages
dc.title Dataset for Temporal Analysis of English-French Cognates en
dc.type Conference contribution
dc.contributor.organization Digital Humanities
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion
dc.relation.funder
dc.identifier.url http://www.lrec-conf.org/proceedings/lrec2020/LREC-2020.pdf
dc.relation.grantnumber 770299

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