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 751–760 of 782 papers

TitleStatusHype
Universal dependencies for Uyghur—0
Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking—0
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge—0
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings—0
Learning Monolingual Compositional Representations via Bilingual Supervision—0
Jointly Learning to Embed and Predict with Multiple Languages—0
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment ClassificationCode0
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing—0
Predicting the Spelling Difficulty of Words for Language Learners—0
Cross-lingual alignment transfer: a chicken-and-egg story?—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