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 551–560 of 782 papers

TitleStatusHype
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of RegistersCode0
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual AdaptationCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks—0
Summarising Historical Text in Modern LanguagesCode1
Word Alignment by Fine-tuning Embeddings on Parallel CorporaCode1
Improving Portuguese Semantic Role Labeling with Transformers and Transfer LearningCode1
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
XLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP—0
UNKs Everywhere: Adapting Multilingual Language Models to New ScriptsCode0
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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