SOTAVerified

Cross-Lingual Transfer

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.

Papers

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Showing 521–530 of 782 papers

TitleStatusHype
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach—0
Cross-lingual Constituency Parsing with Linguistic Typology Knowledge—0
Cross-lingual Universal Dependency Parsing Only from One Monolingual Treebank—0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Cross-Lingual Dependency Parsing via Self-Training—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Cross-lingual intent classification in a low resource industrial setting—0
Cross-Lingual Language Model Meta-Pretraining—0
Cross-lingual morphological inflection with explicit alignment—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified