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 591–600 of 782 papers

TitleStatusHype
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
The Multilingual Amazon Reviews CorpusCode1
Multi-task Learning for Multilingual Neural Machine Translation—0
Automatic Extraction of Rules Governing Morphological AgreementCode0
Cross-Lingual Transfer Learning for Complex Word Identification—0
Cross-Lingual Dependency Parsing via Self-Training—0
Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study—0
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function—0
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
Cross-lingual Transfer Learning for Semantic Role Labeling in Russian—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