Developing the Old Tibetan Treebank

Christian Faggionato, Marieke Meelen


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/R19-1035.pdf