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 611–620 of 782 papers

TitleStatusHype
Self-Supervised Representations Improve End-to-End Speech Translation—0
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated TasksCode0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning—0
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text—0
Are All Languages Created Equal in Multilingual BERT?—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