- Source
- Machine Learning and Knowledge Extraction
- Published
- 20 Oct 2026
- Authors
- J. Cruz, Vilma Sarmiento, Helarf Calsina, Víctor Yana-Mamani, Ferdinand Pineda, Christian Romero, et al.
Excerpt from source
Despite recent advances in multilingual artificial intelligence, Indigenous languages of the Americas remain underrepresented in natural language processing (NLP) because of limited corpora, annotations, benchmarks, and reusable resources. This systematic review examines AI-based NLP research on low-resource Indigenous languages published within the 2022–2026 review window. Following PRISMA 2020 guidance and an expanded source-verification and supplementary-search process, the final analytical corpus comprised 283 unique records. Machine translation was the most represented application domain (58.3%), followed by language documentation (51.2%), Indigenous-language education (30.4%), and…
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