@inproceedings{bilitski-etal-2026-automatic,
title = "Automatic Segmentation of {C}lassical {T}ibetan Texts into Autochthonous and Allochthonous Regions",
author = "Bilitski, Guy and
Shechter, Lev and
Jamtsho, Sonam and
Marciano, Nir and
Bajetta, Nicola and
Sunden, Rebecca and
Drori, Omri and
Hashiloni, Kai Golan and
Zwebner, Orr and
Shina, Asaf and
Almogi, Orna and
Wangchuk, Dorji and
Bar, Kfir",
editor = "Piperidis, Stelios and
Bel, N{\'u}ria and
van den Heuvel, Henk and
Ide, Nancy and
Krek, Simon and
Toral, Antonio",
booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
month = may,
year = "2026",
address = "Palma de Mallorca, Spain",
publisher = "ELRA Language Resource Association",
url = "https://aclanthology.org/2026.lrec-1.79/",
doi = "10.63317/2iyfjjv9boc6",
pages = "1017--1030",
abstract = "We introduce a new computational framework for segmenting Classical Tibetan texts into autochthonous and allochthonous regions, distinguishing between indigenous Tibetan compositions and translated materials, primarily from Sanskrit sources. To support this task, we release the first annotated Tibetan corpus for ALLO/AUTO segmentation and evaluate several multilingual encoders, including mBERT and XLM-R, fine-tuned for sequence labeling. Our best model achieves strong alignment with expert annotations, showing that multilingual representations can effectively capture philological boundaries in low-resource settings. This work contributes new resources and methods for computational philology and sheds light on the linguistic markers that trace the intercultural transmission of Buddhist thought in Tibet."
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%0 Conference Proceedings
%T Automatic Segmentation of Classical Tibetan Texts into Autochthonous and Allochthonous Regions
%A Bilitski, Guy
%A Shechter, Lev
%A Jamtsho, Sonam
%A Marciano, Nir
%A Bajetta, Nicola
%A Sunden, Rebecca
%A Drori, Omri
%A Hashiloni, Kai Golan
%A Zwebner, Orr
%A Shina, Asaf
%A Almogi, Orna
%A Wangchuk, Dorji
%A Bar, Kfir
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F bilitski-etal-2026-automatic
%X We introduce a new computational framework for segmenting Classical Tibetan texts into autochthonous and allochthonous regions, distinguishing between indigenous Tibetan compositions and translated materials, primarily from Sanskrit sources. To support this task, we release the first annotated Tibetan corpus for ALLO/AUTO segmentation and evaluate several multilingual encoders, including mBERT and XLM-R, fine-tuned for sequence labeling. Our best model achieves strong alignment with expert annotations, showing that multilingual representations can effectively capture philological boundaries in low-resource settings. This work contributes new resources and methods for computational philology and sheds light on the linguistic markers that trace the intercultural transmission of Buddhist thought in Tibet.
%R 10.63317/2iyfjjv9boc6
%U https://aclanthology.org/2026.lrec-1.79/
%U https://doi.org/10.63317/2iyfjjv9boc6
%P 1017-1030
Markdown (Informal)
[Automatic Segmentation of Classical Tibetan Texts into Autochthonous and Allochthonous Regions](https://aclanthology.org/2026.lrec-1.79/) (Bilitski et al., LREC 2026)
ACL
- Guy Bilitski, Lev Shechter, Sonam Jamtsho, Nir Marciano, Nicola Bajetta, Rebecca Sunden, Omri Drori, Kai Golan Hashiloni, Orr Zwebner, Asaf Shina, Orna Almogi, Dorji Wangchuk, and Kfir Bar. 2026. Automatic Segmentation of Classical Tibetan Texts into Autochthonous and Allochthonous Regions. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 1017–1030, Palma de Mallorca, Spain. ELRA Language Resource Association.