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 241–250 of 782 papers

TitleStatusHype
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding—0
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval—0
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models—0
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions—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