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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 )

Papers

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Showing 51–100 of 102 papers

TitleStatusHype
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian—0
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared TaskCode0
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages—0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
Cross-lingual Retrieval for Iterative Self-Supervised TrainingCode0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting—0
Data-dependent Gaussian Prior Objective for Language Generation—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
When Does Unsupervised Machine Translation Work?—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
A Multilingual View of Unsupervised Machine Translation—0
Unsupervised Multilingual Alignment using Wasserstein BarycenterCode0
Comparing Unsupervised Word Translation Methods Step by Step—0
Machine Translation With Weakly Paired Documents—0
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English—0
Study on Unsupervised Statistical Machine Translation for Backtranslation—0
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation—0
Generating Classical Chinese Poems from Vernacular ChineseCode0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task—0
The LMU Munich Unsupervised Machine Translation System for WMT19—0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Unsupervised Joint Training of Bilingual Word Embeddings—0
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation—0
Generalized Data Augmentation for Low-Resource Translation—0
Machine Translation With Weakly Paired Bilingual Documents—0
Bilingual-GAN: A Step Towards Parallel Text Generation—0
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation—0
EAT: a simple and versatile semantic representation format for multi-purpose NLP—0
An Effective Approach to Unsupervised Machine TranslationCode0
Cross-lingual Language Model PretrainingCode0
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
Off-the-Shelf Unsupervised NMT—0
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
The LMU Munich Unsupervised Machine Translation Systems—0
LMU Munich's Neural Machine Translation Systems at WMT 2018—0
Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
Style Transfer as Unsupervised Machine Translation—0
Orthographic Features for Bilingual Lexicon Induction—0
On the Limitations of Unsupervised Bilingual Dictionary Induction—0
Phrase-Based & Neural Unsupervised Machine TranslationCode0
Generative Models for Alignment and Data Efficiency in Language—0
Unsupervised Machine Translation Using Monolingual Corpora OnlyCode0
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