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 681–690 of 782 papers

TitleStatusHype
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
Investigating Multilingual NMT Representations at Scale—0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Pushing the Limits of Low-Resource Morphological InflectionCode0
Cross-lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions—0
Specializing Distributional Vectors of All Words for Lexical Entailment—0
Cross-lingual morphological inflection with explicit alignment—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