LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis

Florentina Armaselu, Chaya Liebeskind, Paola Marongiu, Barbara McGillivray, Giedre Valunaite Oleskeviciene, Elena-Simona Apostol, Ciprian-Octavian Truica, Daniela Gifu


Abstract
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.
Anthology ID:
2024.ldl-1.1
Volume:
Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Christian Chiarcos, Katerina Gkirtzou, Maxim Ionov, Fahad Khan, John P. McCrae, Elena Montiel Ponsoda, Patricia Martín Chozas
Venues:
LDL | WS
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
1–10
Language:
URL:
https://aclanthology.org/2024.ldl-1.1
DOI:
Bibkey:
Cite (ACL):
Florentina Armaselu, Chaya Liebeskind, Paola Marongiu, Barbara McGillivray, Giedre Valunaite Oleskeviciene, Elena-Simona Apostol, Ciprian-Octavian Truica, and Daniela Gifu. 2024. LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis. In Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024, pages 1–10, Torino, Italia. ELRA and ICCL.
Cite (Informal):
LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis (Armaselu et al., LDL-WS 2024)
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PDF:
https://aclanthology.org/2024.ldl-1.1.pdf