Better Alignments = Better Translations?

  title={Better Alignments = Better Translations?},
  author={Kuzman Ganchev and Jo{\~a}o Graça and Ben Taskar},
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often produce little or no improvements in machine translation quality. In this work we analyze a recently proposed agreement-constrained EM algorithm for unsupervised alignment models. We attempt to tease apart the effects that this simple but effective modification has on alignment precision and recall trade-offs, and how… CONTINUE READING
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