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 321–330 of 782 papers

Title	Date	Tasks	Status	Score
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding	Apr 18, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	5
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding	May 1, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	5
Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization	Oct 17, 2022	Cross-Lingual TransferDependency Parsing	CodeCode Available	5
Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced Languages	Jun 1, 2022	Cross-Lingual Transfer	CodeCode Available	5
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam	Aug 31, 2021	BenchmarkingClassification	CodeCode Available	5
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation	Jul 19, 2022	Cross-Lingual TransferTransfer Learning	CodeCode Available	5
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling	Oct 1, 2022	Continual LearningCross-Lingual Transfer	CodeCode Available	5
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish	Mar 5, 2020	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition	Oct 22, 2022	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
Soft Language Prompts for Language Transfer	Jul 2, 2024	Cross-Lingual Transferparameter-efficient fine-tuning	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PaLM 2 (few-shot)	Accuracy	94.4	—	Unverified
2	mT0-13B	Accuracy	84.45	—	Unverified
3	RoBERTa Large (translate test)	Accuracy	76.05	—	Unverified
4	BLOOMZ	Accuracy	75.5	—	Unverified
5	MAD-X Base	Accuracy	60.94	—	Unverified
6	mGPT	Accuracy	55.5	—	Unverified