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 361–370 of 782 papers

TitleStatusHype
Density-Driven Cross-Lingual Transfer of Dependency Parsers—0
Delexicalized Word Embeddings for Cross-lingual Dependency Parsing—0
CORI: CJKV Benchmark with Romanization Integration -- A step towards Cross-lingual Transfer Beyond Textual Scripts—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Deciphering Speech: a Zero-Resource Approach to Cross-Lingual Transfer in ASR—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing—0
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs—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