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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 281–290 of 782 papers

Title	Date	Tasks	Status	Hype
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter	Nov 9, 2022	Cross-Lingual TransferFact Checking	—Unverified	0
Crosslingual Generalization through Multitask Finetuning	Nov 3, 2022	Coreference ResolutionCross-Lingual Transfer	CodeCode Available	2
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks	Oct 31, 2022	Cross-Lingual TransferMeta-Learning	—Unverified	0
Progressive Sentiment Analysis for Code-Switched Text Data	Oct 25, 2022	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	0
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models	Oct 24, 2022	Cross-Lingual TransferHate Speech Detection	CodeCode Available	0
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings	Oct 23, 2022	Cross-Lingual NERCross-Lingual Transfer	CodeCode Available	2
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models	Oct 22, 2022	Cross-Lingual TransferNatural Language Understanding	CodeCode Available	1
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition	Oct 22, 2022	Cross-Lingual Transfernamed-entity-recognition	CodeCode Available	0
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching	Oct 22, 2022	Cross-Lingual TransferData Augmentation	—Unverified	0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU	Oct 22, 2022	Cross-Lingual TransferNatural Language Understanding	—Unverified	0

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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