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 111–120 of 782 papers

TitleStatusHype
Improving Portuguese Semantic Role Labeling with Transformers and Transfer LearningCode1
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning DatasetCode1
Unsupervised Cross-lingual Representation Learning at ScaleCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models—0
A Survey Of Cross-lingual Word Embedding Models—0
Cross-Lingual Transfer Learning for Statistical Type Inference—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