A Smorgasbord of Features for Statistical Machine Translation

  • U. SimonFraser, Xerox XRCE, +2 authors Mt. Holyoke
  • Published 2004
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from a wide range of levels of syntactic representation. Feature values were combined in a log-linear model to select the highest scoring candidate translation from an -best list… CONTINUE READING