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Learning past tenses

Parameters
211.6K
Published
Jan 3, 1986

Learning past tenses is an AI model developed by Stanford University (United States), first published in January 1986. It works in the language domain, on tasks such as verb conjugation.

Epoch AI has no training-compute estimate for this model. The model has 211,600 parameters.

The reference paper has 318 citations.

Full record
Organization
Stanford University
Country of organization
United States
Domain
Language
Task
Verb conjugation
Parameters
211,600
Citations
318
More from Stanford University
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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