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Unsupervised Machine Translation
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Unsupervised machine translation is the task of doing machine translation without any translation resources at training time.
<span style="color:grey; opacity: 0.6">( Image credit: Phrase-Based & Neural Unsupervised Machine Translation )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation
Quick Back-Translation for Unsupervised Machine Translation
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages
Boosting Unsupervised Machine Translation with Pseudo-Parallel Data
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation
Unsupervised Mandarin-Cantonese Machine Translation
On the Role of Parallel Data in Cross-lingual Transfer Learning
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
Flow-Adapter Architecture for Unsupervised Machine Translation
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
Leveraging Automated Unit Tests for Unsupervised Code Translation
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
Paraphrase Generation as Unsupervised Machine Translation
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation
Break-It-Fix-It: Unsupervised Learning for Program Repair
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
Unsupervised Machine Translation On Dravidian Languages
From Unsupervised Machine Translation To Adversarial Text Generation
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Cross-lingual Retrieval for Iterative Self-Supervised Training
Unsupervised Translation of Programming Languages
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings
Language Models are Few-Shot Learners
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