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

Showing 181190 of 782 papers

TitleStatusHype
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingCode0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible ProjectionsCode0
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African LanguagesCode0
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
Cross-lingual Similarity of Multilingual Representations RevisitedCode0
Similarity of Sentence Representations in Multilingual LMs: Resolving Conflicting Literature and Case Study of Baltic LanguagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified