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 351–360 of 782 papers

TitleStatusHype
Analysing cross-lingual transfer in lemmatisation for Indian languages—0
Evaluating morphological typology in zero-shot cross-lingual transfer—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
Inverted indexing for cross-lingual NLP—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text—0
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages—0
Investigating Multilingual NMT Representations at Scale—0
Jointly Learning to Embed and Predict with Multiple Languages—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