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 561–570 of 782 papers

TitleStatusHype
Cross-lingual Transfer Learning for Semantic Role Labeling in Russian—0
Cross-Lingual Transfer Learning for Speech Translation—0
Cross-lingual transfer learning for spoken language understanding—0
Cross lingual transfer learning for zero-resource domain adaptation—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Cross-Lingual Transfer of Cultural Knowledge: An Asymmetric Phenomenon—0
Cross-lingual Transfer of Monolingual Models—0
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora—0
Cross-lingual Transfer of Semantic Role Labeling Models—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