MEGA UDPOS
Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.
Phi-3.5-MoE-instruct from Microsoft currently leads the MEGA UDPOS leaderboard with a score of 0.604 across 2 evaluated AI models.
Phi-3.5-MoE-instruct leads with 60.4%, followed by Phi-3.5-mini-instruct at 46.5%.
Progress Over Time
Interactive timeline showing model performance evolution on MEGA UDPOS
MEGA UDPOS Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | 128K | $0.10 / $0.10 |
FAQ
Common questions about MEGA UDPOS.
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