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 721–730 of 782 papers

Title	Date	Tasks	Status
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media	Nov 15, 2022	Cross-Lingual TransferTransfer Learning	CodeCode Available
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections	Jun 6, 2019	Cross-Lingual TransferDependency Parsing	CodeCode Available
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques	Jul 4, 2024	Argument MiningCross-Lingual Transfer	CodeCode Available
Cross-lingual Similarity of Multilingual Representations Revisited	Dec 4, 2022	Causal Language ModelingCross-Lingual Transfer	CodeCode Available
Call Larisa Ivanovna: Code-Switching Fools Multilingual NLU Models	Sep 29, 2021	Cross-Lingual TransferIntent Recognition	CodeCode Available
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages	Dec 19, 2022	Cross-Lingual TransferNatural Language Inference	CodeCode Available
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification	Jun 6, 2016	ClassificationCross-Lingual Document Classification	CodeCode Available
Model Selection for Cross-Lingual Transfer	Oct 13, 2020	Cross-Lingual TransferMeta-Learning	CodeCode Available
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?	Apr 18, 2024	Cross-Lingual Transfer	CodeCode Available
Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges	Jan 17, 2024	Cross-Lingual TransferSurvey	CodeCode Available

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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