Sept. 5, 2023, 8 a.m. | Dhanshree Shripad Shenwai


A significant challenge in evaluating the text comprehension abilities of multilingual models is the lack of high-quality, simultaneous evaluation standards. There are high-coverage natural language processing datasets like FLORES-200, although they are mostly used for machine translation. Although 100+ languages use understanding and generative text services, the lack of labeled data presents a significant barrier […]

The post Meta AI Releases BELEBELE: The First Parallel Reading Comprehension Evaluation Benchmark for 122 Languages appeared first on MarkTechPost.

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