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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 361–370 of 782 papers

TitleStatusHype
Word-Level Representation From Bytes For Language Modeling—0
Unified Question Answering in SloveneCode0
SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social MediaCode0
Speaking Multiple Languages Affects the Moral Bias of Language ModelsCode0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks—0
Progressive Sentiment Analysis for Code-Switched Text DataCode0
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection ModelsCode0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU—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