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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 26–50 of 102 papers

TitleStatusHype
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
On the Limitations of Unsupervised Bilingual Dictionary Induction—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages—0
Generative Models for Alignment and Data Efficiency in Language—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters—0
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Generalized Data Augmentation for Low-Resource Translation—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
LMU Munich's Neural Machine Translation Systems at WMT 2018—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Machine Translation With Weakly Paired Bilingual Documents—0
Machine Translation With Weakly Paired Documents—0
Manipuri-English Machine Translation using Comparable Corpus—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
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