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 571–580 of 782 papers

TitleStatusHype
Task-Specific Pre-Training and Cross Lingual Transfer for Sentiment Analysis in Dravidian Code-Switched Languages—0
Meta-Learning with MAML on Trees—0
Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding TransformationCode0
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data—0
Bilingual Language Modeling, A transfer learning technique for Roman Urdu—0
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning—0
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of RegistersCode0
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual AdaptationCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—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