Abstract
This paper presents on-going work on creating NLP tools for under-resourced languages from very sparse training data coming from linguistic field work. In this work, we focus on Ingush, a Nakh-Daghestanian language spoken by about 300,000 people in the Russian republics Ingushetia and Chechnya. We present work on morphosyntactic taggers trained on transcribed and linguistically analyzed recordings and dependency parsers using English glosses to project annotation for creating synthetic treebanks. Our preliminary results are promising, supporting the goal of bootstrapping efficient NLP tools with limited or no task-specific annotated data resources available.- Anthology ID:
- W16-4020
- Volume:
- Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Erhard Hinrichs, Marie Hinrichs, Thorsten Trippel
- Venue:
- LT4DH
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 148–155
- Language:
- URL:
- https://aclanthology.org/W16-4020
- DOI:
- Cite (ACL):
- Jörg Tiedemann, Johanna Nichols, and Ronald Sprouse. 2016. Tagging Ingush - Language Technology For Low-Resource Languages Using Resources From Linguistic Field Work. In Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), pages 148–155, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Tagging Ingush - Language Technology For Low-Resource Languages Using Resources From Linguistic Field Work (Tiedemann et al., LT4DH 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/W16-4020.pdf