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

Showing 591600 of 782 papers

TitleStatusHype
KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug ReactionsCode0
Cross-lingual Annotation Projection in Legal TextsCode0
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations0
Analysing cross-lingual transfer in lemmatisation for Indian languages0
Cross-lingual Transfer Learning for Grammatical Error Correction0
Multi-view Subword Regularization0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios0
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies0
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages0
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Benchmark Results

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