3260 papers • 126 benchmarks • 313 datasets
Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.
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These leaderboards are used to track progress in cross-lingual-transfer-14
Use these libraries to find cross-lingual-transfer-14 models and implementations
Adding a benchmark result helps the community track progress.