Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior.
Raphael ShuJason LeeHideki NakayamaKyunghyun ChoPublished in: CoRR (2019)
Keyphrases
- machine translation
- autoregressive
- latent variables
- posterior distribution
- probabilistic model
- random fields
- gaussian process
- structured prediction
- non stationary
- bayesian inference
- conditional random fields
- cross lingual
- bayesian networks
- natural language processing
- information extraction
- random variables
- statistical machine translation
- target language
- latent variable models
- hidden variables
- natural language
- topic models
- prior knowledge
- cross language information retrieval
- finite state transducers
- sar images
- probability distribution
- expectation maximization
- parameter estimation
- graphical models
- posterior probability
- language model
- word alignment
- multiscale
- machine learning
- machine translation system