Improving Alignment for SMT by Reordering and Augmenting the Training Corpus

@inproceedings{Holmqvist2009ImprovingAF,
  title={Improving Alignment for SMT by Reordering and Augmenting the Training Corpus},
  author={Maria Holmqvist and Sara Stymne and Jody Foo and Lars Ahrenberg},
  booktitle={WMT@EACL},
  year={2009}
}
We describe the LIU systems for EnglishGerman and German-English translation in the WMT09 shared task. We focus on two methods to improve the word alignment: (i) by applying Giza++ in a second phase to a reordered training corpus, where reordering is based on the alignments from the first phase, and (ii) by adding lexical data obtained as highprecision alignments from a different word aligner. These methods were studied in the context of a system that uses compound processing, a morphological… CONTINUE READING

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