3260 papers • 126 benchmarks • 313 datasets
Low-resource machine translation is the task of machine translation on a low-resource language where large data may not be available.
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These leaderboards are used to track progress in low-resource-neural-machine-translation
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Use these libraries to find low-resource-neural-machine-translation models and implementations
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Adding a benchmark result helps the community track progress.