DUDU: A Treebank for Ottoman Turkish in UD Style

Enes Yılandiloğlu, Janine Siewert


Abstract
This paper introduces a recently released Ottoman Turkish (ota) treebank in Universal Dependencies (UD) style, DUDU. The DUDU Treebank consists of 1,064 automatically annotated and manually corrected sentences. The texts were manually collected from various academic or literary sources available on the Internet. Following preprocessing, the sentences were annotated using a MaCHAMP-based neural network model utilizing the large language model (LLM) architecture and manually corrected. The treebank became publicly available with the 2.14 release, and future steps involve expanding the treebank with more data and refining the annotation scheme. The treebank is the first and only treebank that utilizes the IJMES transliteration alphabet. The treebank not only gives insight on Ottoman Turkish lexically, morphologically, and syntactically, but also provides a small but robust test set for future computational models for Ottoman Turkish.
Anthology ID:
2025.resourceful-1.16
Volume:
Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)
Month:
March
Year:
2025
Address:
Tallinn, Estonia
Editors:
Špela Arhar Holdt, Nikolai Ilinykh, Barbara Scalvini, Micaella Bruton, Iben Nyholm Debess, Crina Madalina Tudor
Venues:
RESOURCEFUL | WS
SIG:
Publisher:
University of Tartu Library, Estonia
Note:
Pages:
74–79
Language:
URL:
https://preview.aclanthology.org/landing_page/2025.resourceful-1.16/
DOI:
Bibkey:
Cite (ACL):
Enes Yılandiloğlu and Janine Siewert. 2025. DUDU: A Treebank for Ottoman Turkish in UD Style. In Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025), pages 74–79, Tallinn, Estonia. University of Tartu Library, Estonia.
Cite (Informal):
DUDU: A Treebank for Ottoman Turkish in UD Style (Yılandiloğlu & Siewert, RESOURCEFUL 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/landing_page/2025.resourceful-1.16.pdf