Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation.
William LewisChristian FedermannYing XinPublished in: IWSLT (2015)
Keyphrases
- machine translation
- cross entropy
- training data
- natural language
- cross lingual
- log likelihood
- natural language processing
- target language
- language modeling
- maximum likelihood
- classification accuracy
- learning algorithm
- statistical machine translation
- information extraction
- cross language information retrieval
- evaluation metrics
- supervised learning
- training set
- error function
- word alignment
- query translation
- ranking functions
- density estimation