Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages
Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, Paul McNamee
Abstract
Dragonfly is an open source software tool that supports annotation of text in a low resource language by non-speakers of the language. Using semantic and contextual information, non-speakers of a language familiar with the Latin script can produce high quality named entity annotations to support construction of a name tagger. We describe a procedure for annotating low resource languages using Dragonfly that others can use, which we developed based on our experience annotating data in more than ten languages. We also present performance comparisons between models trained on native speaker and non-speaker annotations.- Anthology ID:
- 2020.lrec-1.862
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 6983–6987
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.862
- DOI:
- Cite (ACL):
- Cash Costello, Shelby Anderson, Caitlyn Bishop, James Mayfield, and Paul McNamee. 2020. Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6983–6987, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Dragonfly: Advances in Non-Speaker Annotation for Low Resource Languages (Costello et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.lrec-1.862.pdf