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.
| Original language | English |
|---|---|
| Title of host publication | The Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL 2025) |
| Editors | Špela Arhar Holdt, Nikolai Ilinykh, Barbara Scalvini, Micaella Bruton, Iben Nyholm Debess, Crina Madalina Tudor |
| Number of pages | 6 |
| Place of Publication | Tartu |
| Publisher | University of Tartu Library |
| Publication date | Mar 2025 |
| Pages | 74-79 |
| ISBN (Electronic) | 978-9908-53-121-2 |
| Publication status | Published - Mar 2025 |
| MoE publication type | A4 Article in conference proceedings |
| Event | Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025) - Hestia Hotel Europa, Paadi tn 5, 10151, Tallinn, Estonia Duration: 2 Mar 2025 → 2 Mar 2025 Conference number: 3 https://resourceful-workshop.github.io/resourceful-2025/index.html |
Fields of Science
- 6121 Languages
- 113 Computer and information sciences