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
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpusCode0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models—0
Multilingual and Zero-Shot is Closing in on Monolingual Web Register Classification—0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesCode0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust TrainingCode0
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
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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