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

Showing 601610 of 782 papers

TitleStatusHype
Inducing Language-Agnostic Multilingual RepresentationsCode1
MICE: Mining Idioms with Contextual EmbeddingsCode0
NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual TransferCode1
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models0
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingCode1
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer0
Transliteration for Cross-Lingual Morphological Inflection0
The CMU-LTI submission to the SIGMORPHON 2020 Shared Task 0: Language-Specific Cross-Lingual Transfer0
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified