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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 211–220 of 782 papers

TitleStatusHype
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
Cross-lingual Word Sense Disambiguation for Predicate Labelling of French—0
Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology—0
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models—0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages—0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning—0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning—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