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 311–320 of 782 papers

TitleStatusHype
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching—0
Inverted indexing for cross-lingual NLP—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing—0
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset—0
Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge—0
Frustratingly Simple Regularization to Improve Zero-shot Cross-lingual Robustness—0
GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—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