The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek

Alek Keersmaekers


Abstract
This paper describes the GLAUx project (“the Greek Language Automated”), an ongoing effort to develop a large long-term diachronic corpus of Greek, covering sixteen centuries of literary and non-literary material annotated with NLP methods. After providing an overview of related corpus projects and discussing the general architecture of the corpus, it zooms in on a number of larger methodological issues in the design of historical corpora. These include the encoding of textual variants, handling extralinguistic variation and annotating linguistic ambiguity. Finally, the long- and short-term perspectives of this project are discussed.
Anthology ID:
2021.lchange-1.6
Volume:
Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Nina Tahmasebi, Adam Jatowt, Yang Xu, Simon Hengchen, Syrielle Montariol, Haim Dubossarsky
Venue:
LChange
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
39–50
Language:
URL:
https://aclanthology.org/2021.lchange-1.6
DOI:
10.18653/v1/2021.lchange-1.6
Bibkey:
Cite (ACL):
Alek Keersmaekers. 2021. The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek. In Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021, pages 39–50, Online. Association for Computational Linguistics.
Cite (Informal):
The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek (Keersmaekers, LChange 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.lchange-1.6.pdf
Data
Universal Dependencies