Learning to translate from graded and negative relevance information

  title={Learning to translate from graded and negative relevance information},
  author={Laura Jehl and Stefan Riezler},
We present an approach for learning to translate by exploiting cross-lingual link structure in multilingual document collections. We propose a new learning objective based on structured ramp loss, which learns from graded relevance, explicitly including negative relevance information. Our results on English-German translation of Wikipedia entries show small, but significant, improvements of our method over an unadapted baseline, even when only a weak relevance signal is used. We also compare… CONTINUE READING