Translation Set1→en spBleu
spBLEU (SentencePiece BLEU) evaluation metric for machine translation quality assessment, using language-agnostic SentencePiece tokenization with BLEU scoring. Part of the FLORES-101 evaluation benchmark for low-resource and multilingual machine translation.
Nova Pro from Amazon currently leads the Translation Set1→en spBleu leaderboard with a score of 0.444 across 3 evaluated AI models.
What Translation Set1→en spBleu measures
Translation Set1→en spBleu is a text benchmark that evaluates large language models on language tasks. LLM Stats tracks 3 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.4, with the leader reaching 0.4.
Compare leaders on the best AI for language leaderboards.
Publication
- Paper
- The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
- Authors
- Naman Goyal, Cynthia Gao, Vishrav Chaudhary, Peng-Jen Chen, and 6 others
- Published
- arXiv
- 2106.03193
Abstract
One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES-101 evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.
Nova Pro leads with 44.4%, followed by Nova Lite at 43.1% and Nova Micro at 42.6%.
Progress Over Time
Interactive timeline showing model performance evolution on Translation Set1→en spBleu
Translation Set1→en spBleu Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Amazon | — | — | — | ||
| 2 | Amazon | — | — | — | ||
| 3 | Amazon | — | — | — |
FAQ
Common questions about Translation Set1→en spBleu.
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