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 551–560 of 782 papers

TitleStatusHype
Cross-Lingual Transfer Learning for Complex Word Identification—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Cross-lingual Transfer Learning for Japanese Named Entity Recognition—0
Cross-lingual Transfer Learning for Javanese Dependency Parsing—0
Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
Cross-Lingual Transfer Learning for Question Answering—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