A Resource for Computational Experiments on Mapudungun
Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi, Rodolfo Vega, Antonios Anastasopoulos, Lori Levin, Alan W Black
Abstract
We present a resource for computational experiments on Mapudungun, a polysynthetic indigenous language spoken in Chile with upwards of 200 thousand speakers. We provide 142 hours of culturally significant conversations in the domain of medical treatment. The conversations are fully transcribed and translated into Spanish. The transcriptions also include annotations for code-switching and non-standard pronunciations. We also provide baseline results on three core NLP tasks: speech recognition, speech synthesis, and machine translation between Spanish and Mapudungun. We further explore other applications for which the corpus will be suitable, including the study of code-switching, historical orthography change, linguistic structure, and sociological and anthropological studies.- Anthology ID:
- 2020.lrec-1.350
- 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:
- 2872–2877
- Language:
- English
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.lrec-1.350/
- DOI:
- Cite (ACL):
- Mingjun Duan, Carlos Fasola, Sai Krishna Rallabandi, Rodolfo Vega, Antonios Anastasopoulos, Lori Levin, and Alan W Black. 2020. A Resource for Computational Experiments on Mapudungun. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 2872–2877, Marseille, France. European Language Resources Association.
- Cite (Informal):
- A Resource for Computational Experiments on Mapudungun (Duan et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.lrec-1.350.pdf
- Code
- mingjund/mapudungun-corpus