SOTAVerified

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 461–470 of 782 papers

TitleStatusHype
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text—0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts—0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis—0
A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing—0
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models—0
A multilingual training strategy for low resource Text to Speech—0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Analysing cross-lingual transfer in lemmatisation for Indian languages—0
Analysis of Multi-Source Language Training in Cross-Lingual Transfer—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