Estimation vs Metrics: is QE Useful for MT Model Selection?
Anna ZaretskayaJosé ConceiçãoFrederick BanePublished in: EAMT (2020)
Keyphrases
- model selection
- parameter estimation
- error estimation
- cross validation
- selection criterion
- bayesian learning
- regression model
- hyperparameters
- statistical inference
- machine learning
- statistical learning
- sample size
- variable selection
- generalization error
- query expansion
- mixture model
- model selection criteria
- feature selection
- motion segmentation
- gaussian process
- machine translation
- density estimation
- leave one out cross validation
- automatic model selection
- bayesian information criterion
- least squares
- prior knowledge
- information retrieval