Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior.
Raphael ShuJason LeeHideki NakayamaKyunghyun ChoPublished in: AAAI (2020)
Keyphrases
- machine translation
- autoregressive
- latent variables
- posterior distribution
- probabilistic model
- random fields
- gaussian process
- structured prediction
- non stationary
- bayesian inference
- latent variable models
- random variables
- cross lingual
- conditional random fields
- bayesian networks
- topic models
- information extraction
- natural language processing
- hidden variables
- target language
- cross language information retrieval
- prior knowledge
- finite state transducers
- statistical machine translation
- word alignment
- probability distribution
- graphical models
- natural language
- posterior probability
- maximum entropy
- machine translation system
- bayesian framework
- generative model
- sar images
- machine learning
- parameter estimation
- language model
- text mining
- image processing