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 201–210 of 782 papers

TitleStatusHype
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
Cross-lingual Transfer of Sentiment Classifiers—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking—0
Cross-lingual Approaches for Task-specific Dialogue Act Recognition—0
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis—0
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment—0
Cross-Lingual Transfer with Target Language-Ready Task Adapters—0
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation—0
Cross-Lingual Transfer Learning for Complex Word Identification—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