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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 771–780 of 782 papers

TitleStatusHype
Cross-lingual Dependency Parsing Based on Distributed RepresentationsCode0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning—0
Cross-lingual Transfer Parsing for Low-Resourced Languages: An Irish Case Study—0
Cross-Lingual POS Tagging through Ambiguous Learning: First Experiments (Apprentissage partiellement supervis\'e d'un \'etiqueteur morpho-syntaxique par transfert cross-lingue) [in French]—0
Cross-lingual Word Sense Disambiguation for Predicate Labelling of French—0
Adventures in Multilingual Parsing—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
FrameNet on the Way to Babel: Creating a Bilingual FrameNet Using Wiktionary as Interlingual Connection—0
Interactive Error Resolution Strategies for Speech-to-Speech Translation Systems—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