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 721730 of 782 papers

TitleStatusHype
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector SpecializationCode0
Unsupervised Cross-lingual Transfer of Word Embedding SpacesCode0
Quantifying training challenges of dependency parsers0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP0
Predicting Concreteness and Imageability of Words Within and Across Languages via Word EmbeddingsCode0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification0
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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