Zero-Shot Cross-Lingual Transfer

72 papers with code • 2 benchmarks • 4 datasets

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Use these libraries to find Zero-Shot Cross-Lingual Transfer models and implementations
2 papers

Most implemented papers

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

facebookresearch/LASER TACL 2019

We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA

microsoft/unilm ACL 2022

In this paper, we introduce ELECTRA-style tasks to cross-lingual language model pre-training.

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

shijie-wu/crosslingual-nlp IJCNLP 2019

Pretrained contextual representation models (Peters et al., 2018; Devlin et al., 2018) have pushed forward the state-of-the-art on many NLP tasks.

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

facebookresearch/fairseq 23 Sep 2021

Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data.

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

cambridgeltl/adversarial-postspec EMNLP 2018

Our adversarial post-specialization method propagates the external lexical knowledge to the full distributional space.

Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing

WangYuxuan93/CLBT IJCNLP 2019

In this approach, a linear transformation is learned from contextual word alignments to align the contextualized embeddings independently trained in different languages.

Cross-Lingual Natural Language Generation via Pre-Training

CZWin32768/xnlg 23 Sep 2019

In this work we focus on transferring supervision signals of natural language generation (NLG) tasks between multiple languages.

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

cambridgeltl/parameter-factorization 30 Jan 2020

In this work, we propose a Bayesian generative model for the space of neural parameters.

Zero-Shot Cross-Lingual Transfer with Meta Learning

copenlu/X-MAML EMNLP 2020

We show that this challenging setup can be approached using meta-learning, where, in addition to training a source language model, another model learns to select which training instances are the most beneficial to the first.