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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 751–782 of 782 papers

TitleStatusHype
Negation Scope Resolution for Chinese as a Second Language—0
Neural Cross-Lingual Event Detection with Minimal Parallel Resources—0
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer—0
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
On the ability of monolingual models to learn language-agnostic representations—0
On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling—0
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings—0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
On the Universality of Deep Contextual Language Models—0
On the Usability of Transformers-based models for a French Question-Answering task—0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation—0
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR—0
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning—0
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study—0
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training—0
Persian Natural Language Inference: A Meta-learning approach—0
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings—0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer—0
Predicting Foreign Language Usage from English-Only Social Media Posts—0
Predicting the Spelling Difficulty of Words for Language Learners—0
Probing Multilingual Language Models for Discourse—0
Probing the Emergence of Cross-lingual Alignment during LLM Training—0
Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing—0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning—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