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 621–630 of 782 papers

TitleStatusHype
MICE: Mining Idioms with Contextual EmbeddingsCode0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models—0
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer—0
Transliteration for Cross-Lingual Morphological Inflection—0
The CMU-LTI submission to the SIGMORPHON 2020 Shared Task 0: Language-Specific Cross-Lingual Transfer—0
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization—0
Self-Supervised Representations Improve End-to-End Speech Translation—0
Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated TasksCode0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech 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