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 421–430 of 782 papers

TitleStatusHype
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
Persian Natural Language Inference: A Meta-learning approach—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR—0
Training Cross-Lingual embeddings for Setswana and SepediCode0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Multi-Domain Multilingual Question AnsweringCode1
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—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