Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation.
Christian FedermannTsuyoshi OkitaMaite MeleroMarta R. Costa-jussàToni BadiaJosef van GenabithPublished in: AML@COLING (2012)
Keyphrases
- machine translation
- noisy images
- wavelet domain
- digital images
- em algorithm
- natural language processing
- language independent
- maximum likelihood
- image denoising
- cross lingual
- cross language information retrieval
- natural language
- information extraction
- target language
- statistical machine translation
- machine learning
- machine translation system
- brazilian portuguese
- wavelet domain hidden markov tree
- language resources
- spatial domain
- multiscale
- word sense disambiguation
- named entity recognition
- edge detection
- query translation
- denoising
- chinese english
- information retrieval
- feature space
- word alignment
- word level
- hidden markov models
- wavelet transform
- semantic role labeling
- query expansion
- frequency domain
- wavelet coefficients