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
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Analysing cross-lingual transfer in lemmatisation for Indian languages—0
Evaluating morphological typology in zero-shot cross-lingual transfer—0
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models—0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP—0
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization—0
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text—0
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages—0
Language-Family Adapters for Multilingual Neural Machine Translation—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