Meta’s AI translation model embraces overlooked languages

David I. Adelani ()

Nature, 2024, vol. 630, issue 8018, 821-822

Abstract: More than 7,000 languages are in use throughout the world, but popular translation tools cannot deal with most of them. A translation model that was tested on under-represented languages takes a key step towards a solution.

Keywords: Machine learning; Computer science (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-024-00964-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:630:y:2024:i:8018:d:10.1038_d41586-024-00964-2

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-024-00964-2

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().