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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 1–50 of 102 papers

TitleStatusHype
Language Models are Few-Shot LearnersCode3
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
Unsupervised Mandarin-Cantonese Machine TranslationCode1
Unsupervised Translation of Programming LanguagesCode1
Incorporating BERT into Neural Machine TranslationCode1
Unsupervised Statistical Machine TranslationCode1
Multilingual Denoising Pre-training for Neural Machine TranslationCode1
A Probabilistic Formulation of Unsupervised Text Style TransferCode1
Unsupervised Vision-and-Language Pre-training Without Parallel Images and CaptionsCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
Cross-lingual Retrieval for Iterative Self-Supervised TrainingCode0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
A Theory of Unsupervised Translation Motivated by Understanding Animal CommunicationCode0
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared TaskCode0
Bilingual Lexicon Induction through Unsupervised Machine TranslationCode0
Leveraging Automated Unit Tests for Unsupervised Code TranslationCode0
Generating Classical Chinese Poems from Vernacular ChineseCode0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource LanguageCode0
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related LanguagesCode0
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine TranslationCode0
Word Translation Without Parallel DataCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine TranslationCode0
Unsupervised Machine Translation Using Monolingual Corpora OnlyCode0
Unsupervised Multilingual Alignment using Wasserstein BarycenterCode0
Quick Back-Translation for Unsupervised Machine TranslationCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Phrase-Based & Neural Unsupervised Machine TranslationCode0
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual ModelCode0
Unsupervised Neural Machine TranslationCode0
Cross-lingual Language Model PretrainingCode0
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation—0
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation—0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
Comparing Unsupervised Word Translation Methods Step by Step—0
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Boosting Unsupervised Machine Translation with Pseudo-Parallel Data—0
A Multilingual View of Unsupervised Machine Translation—0
Manipuri-English Machine Translation using Comparable Corpus—0
Machine Translation With Weakly Paired Documents—0
Data Selection for Unsupervised Translation of German–Upper Sorbian—0
Machine Translation With Weakly Paired Bilingual Documents—0
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