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 301–310 of 782 papers

TitleStatusHype
Cross-Lingual Transfer with Target Language-Ready Task Adapters—0
Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model—0
Second Language Acquisition of Neural Language ModelsCode0
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual TransformersCode0
Distilling Efficient Language-Specific Models for Cross-Lingual TransferCode0
The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech—0
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation—0
Pre-Trained Language-Meaning Models for Multilingual Parsing and GenerationCode0
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT—0
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution—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