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 741–750 of 782 papers

TitleStatusHype
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
A Survey Of Cross-lingual Word Embedding Models—0
Cross-Lingual Parser Selection for Low-Resource Languages—0
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing—0
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion—0
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge—0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features—0
Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking—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