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 251–260 of 782 papers

Title	Date	Tasks	Status	Score
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning	Jan 23, 2023	Cross-Lingual TransferLanguage Modeling	CodeCode Available	5
Cross-lingual Annotation Projection in Legal Texts	Dec 1, 2020	Cross-Lingual TransferDynamic Time Warping	CodeCode Available	5
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning	Apr 3, 2023	Cross-Lingual Transferintent-classification	CodeCode Available	5
Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer	May 12, 2021	Cross-Lingual TransferMultilingual NLP	CodeCode Available	5
Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models	Dec 17, 2024	Cross-Lingual TransferMachine Translation	CodeCode Available	5
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing	Nov 1, 2021	Cross-Lingual TransferPOS	CodeCode Available	5
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding	Apr 18, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	5
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish	Mar 1, 2024	Cross-Lingual TransferFact Checking	CodeCode Available	5
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition	Sep 11, 2023	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	5
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking	Sep 28, 2021	Cross-Lingual TransferDialogue State Tracking	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