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 691–700 of 782 papers

TitleStatusHype
Specializing Distributional Vectors of All Words for Lexical Entailment—0
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions—0
Cross-lingual morphological inflection with explicit alignment—0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER—0
Cross-Lingual Transfer Learning for Question Answering—0
JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages—0
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible ProjectionsCode0
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging—0
Cross-lingual Transfer Learning for Japanese Named Entity Recognition—0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
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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