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NLP Pipeline for Annotating (Endangered) Tibetan and Newar Varieties

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Faggionato, Christian 
Hill, Nathan 

Abstract

In this paper we present our work-in-progress on a fully-implemented pipeline to create deeply-annotated corpora of a number of historical and contemporary Tibetan and Newar varieties. Our off-the-shelf tools allow researchers to create corpora with five different layers of annotation, ranging from morphosyntactic to information-structural annotation. We build on and optimise existing tools (in line with FAIR principles), as well as develop new ones, and show how they can be adapted to other Tibetan and Newar languages, most notably modern endangered languages that are both extremely low-resourced and under-researched.

Description

Keywords

Journal Title

Proceedings of the EURALI workshop at LREC 2022

Conference Name

LREC-EURALI workshop

Journal ISSN

Volume Title

Publisher

Sponsorship
This research is AHRC-funded (AH/V011235/1).