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Unsupervised Machine Translation

Unsupervised machine translation is the task of doing machine translation without any translation resources at training time.

( Image credit: Phrase-Based & Neural Unsupervised Machine Translation )

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Showing 1–25 of 102 papers

TitleStatusHype
Language Models are Few-Shot LearnersCode3
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Unsupervised Mandarin-Cantonese Machine TranslationCode1
Unsupervised Translation of Programming LanguagesCode1
Multilingual Denoising Pre-training for Neural Machine TranslationCode1
Incorporating BERT into Neural Machine TranslationCode1
Unsupervised Statistical Machine TranslationCode1
Unsupervised Vision-and-Language Pre-training Without Parallel Images and CaptionsCode1
A Probabilistic Formulation of Unsupervised Text Style TransferCode1
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation—0
Boosting Unsupervised Machine Translation with Pseudo-Parallel Data—0
Comparing Unsupervised Word Translation Methods Step by Step—0
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation—0
A Multilingual View of Unsupervised Machine Translation—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Bilingual-GAN: A Step Towards Parallel Text Generation—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
CUNI Submission to MT4All Shared Task—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Data Selection for Unsupervised Translation of German–Upper Sorbian—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
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