natural-language-processing-3
Cross-Lingual
3260 papers • 126 benchmarks • 313 datasets
Cross-lingual natural language processing is the task of 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.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in cross-lingual-3
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find cross-lingual-3 models and implementations
Datasets
No datasets available.