AI models
Maximum Entropy Models for machine translation
Published
Jul 6, 2002
Maximum Entropy Models for machine translation is an AI model developed by University of Southern California and RWTH Aachen University (United States and Germany), first published in July 2002. It works in the language domain, on tasks such as translation.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 58.1K datapoints.
The reference paper has 1,413 citations.
Full record
- Organization
- University of Southern California, RWTH Aachen University
- Country of organization
- United States, Germany
- Domain
- Language
- Task
- Translation
- Dataset size
- 58.1K
- Citations
- 1,413
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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