Meta's AI translation model embraces overlooked languages
成果类型：
Editorial Material
署名作者：
Adelani, David I.
署名单位：
University of London; University College London; McGill University
刊物名称：
Nature
ISSN/ISSBN：
0028-6383
DOI：
10.1038/d41586-024-00964-2
发表日期：
2024-06-27
页码：
821-822
关键词：
摘要：
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.