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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 481–490 of 782 papers

TitleStatusHype
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning—0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
Persian Natural Language Inference: A Meta-learning approach—0
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR—0
Training Cross-Lingual embeddings for Setswana and SepediCode0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Chinese Opinion Role Labeling with Corpus Translation: A Pivot StudyCode0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic ParsingCode0
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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