linguistic linked open data; diachronic analysis; multilingual corpora
Abstract :
[en] This article proposes a linguistic linked open data model for diachronic analysis (LLODIA) that combines data derived from diachronic analysis of multilingual corpora with dictionary-based evidence. A humanities use case was devised as a proof of concept that includes examples in five languages (French, Hebrew, Latin, Lithuanian and Romanian) related to various meanings of the term “revolution” considered at different time intervals. The examples were compiled through diachronic word embedding and dictionary alignment.
Disciplines :
Computer science
Author, co-author :
ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
Liebeskind, Chaya; Jerusalem College of Technology, Israel
Marongiu, Paola; UNINE - Université de Neuchâtel [CH]
McGillivray, Barbara; KCL - King's College London [GB]
Valūnaitė-Oleškevičienė; Mykolas Romeris University, Lithuania
Apostol, Elena-Simona; National University of Science and Technology Politehnica Bucharest, Romania
Truica, Ciprian-Octavian; National University of Science and Technology Politehnica Bucharest, Romania
Gifu, Daniela; Romanian Academy - Iasi Branch, Romania
External co-authors :
yes
Language :
English
Title :
LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis
Publication date :
31 May 2024
Event name :
9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
Event organizer :
ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)
