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 631–640 of 782 papers

TitleStatusHype
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
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text—0
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
Are All Languages Created Equal in Multilingual BERT?—0
Cross-lingual Transfer of Sentiment Classifiers—0
Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesCode0
DaNE: A Named Entity Resource for Danish—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