AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas

Little attention has been paid to the development of human language technology for truly low-resource languages—i.e., languages with limited amounts of digitally available text data, such as Indigenous languages. However, it has been shown that pretrained multilingual models are able to perform cros...

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Detalles Bibliográficos
Autores principales: Kann, Katharina, Ebrahimi, Abteen, Mager, Manuel, Oncevay, Arturo, Ortega, John E., Rios, Annette, Fan, Angela, Gutierrez-Vasques, Ximena, Chiruzzo, Luis, Giménez-Lugo, Gustavo A., Ramos, Ricardo, Meza Ruiz, Ivan Vladimir, Mager, Elisabeth, Chaudhary, Vishrav, Neubig, Graham, Palmer, Alexis, Coto-Solano, Rolando, Vu, Ngoc Thang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755662/
https://www.ncbi.nlm.nih.gov/pubmed/36530357
http://dx.doi.org/10.3389/frai.2022.995667

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755662/
https://www.ncbi.nlm.nih.gov/pubmed/36530357
http://dx.doi.org/10.3389/frai.2022.995667

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