It Takes Two to Tango: A Bilingual Unsupervised Approach for Estimating Sense Distributions using Expectation Maximization.
Mitesh M. KhapraSalil JoshiPushpak BhattacharyyaPublished in: IJCNLP (2011)
Keyphrases
- expectation maximization
- unsupervised learning
- maximum likelihood estimates
- em algorithm
- finite mixture model
- finite mixtures
- minimum message length
- gaussian distribution
- mixture model
- gaussian densities
- parameter estimation
- maximum likelihood
- probability distribution
- probabilistic model
- supervised learning
- semi supervised
- gaussian mixture model
- machine translation
- probability density function
- estimate the model parameters
- unsupervised manner
- rigid body
- bayesian framework
- cross language
- cross lingual
- generative model
- maximum likelihood estimation
- probability density
- computer vision
- mixture of gaussians
- random variables
- word alignment
- image processing
- image segmentation
- graphical models
- language resources
- dirichlet distribution
- information theoretic
- parallel corpora
- maximum a posteriori
- gaussian mixture