How to age BERT Well: Continuous Training for Historical Language Adaptation

Anika Harju; Rob van der Goot

How to age BERT Well: Continuous Training for Historical Language Adaptation

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Engelsk
Titel	Proceedings of the First Workshop on Language Models for Low-Resource Languages
Redaktører	Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage
Antal sider	10
Udgivelsessted	Abu Dhabi, United Arab Emirates
Forlag	Association for Computational Linguistics
Publikationsdato	1 jan. 2025
Sider	258-267
Status	Udgivet - 1 jan. 2025

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Citationsformater

Harju, A., & van der Goot, R. (2025). How to age BERT Well: Continuous Training for Historical Language Adaptation. I H. Hettiarachchi, T. Ranasinghe, P. Rayson, R. Mitkov, M. Gaber, D. Premasiri, F. A. Tan, & L. Uyangodage (red.), Proceedings of the First Workshop on Language Models for Low-Resource Languages (s. 258-267). Association for Computational Linguistics. https://aclanthology.org/2025.loreslm-1.21.pdf

Harju, Anika ; van der Goot, Rob. / How to age BERT Well: Continuous Training for Historical Language Adaptation. Proceedings of the First Workshop on Language Models for Low-Resource Languages. red. / Hansi Hettiarachchi ; Tharindu Ranasinghe ; Paul Rayson ; Ruslan Mitkov ; Mohamed Gaber ; Damith Premasiri ; Fiona Anting Tan ; Lasitha Uyangodage. Abu Dhabi, United Arab Emirates : Association for Computational Linguistics, 2025. s. 258-267

@inproceedings{1e22a358282a42d9a0c54a4d1115f247,

title = "How to age BERT Well: Continuous Training for Historical Language Adaptation",

author = "Anika Harju and \{van der Goot\}, Rob",

year = "2025",

month = jan,

day = "1",

language = "English",

pages = "258--267",

editor = "Hansi Hettiarachchi and Tharindu Ranasinghe and Paul Rayson and Ruslan Mitkov and Mohamed Gaber and Damith Premasiri and Tan, \{Fiona Anting\} and Lasitha Uyangodage",

booktitle = "Proceedings of the First Workshop on Language Models for Low-Resource Languages",

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Harju, A & van der Goot, R 2025, How to age BERT Well: Continuous Training for Historical Language Adaptation. i H Hettiarachchi, T Ranasinghe, P Rayson, R Mitkov, M Gaber, D Premasiri, FA Tan & L Uyangodage (red), Proceedings of the First Workshop on Language Models for Low-Resource Languages. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, s. 258-267. <https://aclanthology.org/2025.loreslm-1.21.pdf>

How to age BERT Well: Continuous Training for Historical Language Adaptation. / Harju, Anika; van der Goot, Rob.
Proceedings of the First Workshop on Language Models for Low-Resource Languages. red. / Hansi Hettiarachchi; Tharindu Ranasinghe; Paul Rayson; Ruslan Mitkov; Mohamed Gaber; Damith Premasiri; Fiona Anting Tan; Lasitha Uyangodage. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics, 2025. s. 258-267.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - How to age BERT Well: Continuous Training for Historical Language Adaptation

AU - Harju, Anika

AU - van der Goot, Rob

PY - 2025/1/1

Y1 - 2025/1/1

M3 - Article in proceedings

SP - 258

EP - 267

BT - Proceedings of the First Workshop on Language Models for Low-Resource Languages

A2 - Hettiarachchi, Hansi

A2 - Ranasinghe, Tharindu

A2 - Rayson, Paul

A2 - Mitkov, Ruslan

A2 - Gaber, Mohamed

A2 - Premasiri, Damith

A2 - Tan, Fiona Anting

A2 - Uyangodage, Lasitha

PB - Association for Computational Linguistics

CY - Abu Dhabi, United Arab Emirates

ER -

Harju A, van der Goot R. How to age BERT Well: Continuous Training for Historical Language Adaptation. I Hettiarachchi H, Ranasinghe T, Rayson P, Mitkov R, Gaber M, Premasiri D, Tan FA, Uyangodage L, red., Proceedings of the First Workshop on Language Models for Low-Resource Languages. Abu Dhabi, United Arab Emirates: Association for Computational Linguistics. 2025. s. 258-267