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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
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English—0
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation—0
The LMU Munich Unsupervised Machine Translation Systems—0
The LMU Munich Unsupervised Machine Translation System for WMT19—0
The NITS-CNLP System for the Unsupervised MT Task at WMT 2020—0
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots—0
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation—0
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian—0
Unsupervised Joint Training of Bilingual Word Embeddings—0
Unsupervised Machine Translation in Real-World Scenarios—0
Unsupervised Machine Translation On Dravidian Languages—0
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining—0
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting—0
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation—0
Unsupervised Neural Machine Translation with Universal Grammar—0
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language—0
EAT: a simple and versatile semantic representation format for multi-purpose NLP—0
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation—0
When Does Unsupervised Machine Translation Work?—0
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
A Multilingual View of Unsupervised Machine Translation—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Bilingual-GAN: A Step Towards Parallel Text Generation—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
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
CUNI Submission to MT4All Shared Task—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—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
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs—0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Generalized Data Augmentation for Low-Resource Translation—0
Generative Models for Alignment and Data Efficiency in Language—0
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
LMU Munich's Neural Machine Translation Systems at WMT 2018—0
Machine Translation With Weakly Paired Bilingual Documents—0
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