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 731–740 of 782 papers

TitleStatusHype
Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian ResourceCode0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-ZyrianCode0
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project—0
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation—0
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Exploring Cross-Lingual Transfer of Morphological Knowledge In Sequence-to-Sequence Models—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—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