Abstract
This paper presents a full procedure for the development of a segmented, POS-tagged and chunkparsed corpus of Old Tibetan. As an extremely low-resource language, Old Tibetan poses non-trivial problems in every step towards the development of a searchable treebank. We demonstrate, however, that a carefully developed, semisupervised method of optimising and extending existing tools for Classical Tibetan, as well as creating specific ones for Old Tibetan can address these issues. We thus also present the first very Tibetan Treebank in a variety of formats to facilitate research in the fields of NLP, historical linguistics and Tibetan Studies.- Anthology ID:
- R19-1035
- Volume:
- Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
- Month:
- September
- Year:
- 2019
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 304–312
- Language:
- URL:
- https://aclanthology.org/R19-1035
- DOI:
- 10.26615/978-954-452-056-4_035
- Cite (ACL):
- Christian Faggionato and Marieke Meelen. 2019. Developing the Old Tibetan Treebank. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 304–312, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Developing the Old Tibetan Treebank (Faggionato & Meelen, RANLP 2019)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/R19-1035.pdf