@inproceedings{corston-oliver-gamon-2004-normalizing,
    title = "Normalizing {G}erman and {E}nglish inflectional morphology to improve statistical word alignment",
    author = "Corston-Oliver, Simon  and
      Gamon, Michael",
    editor = "Frederking, Robert E.  and
      Taylor, Kathryn B.",
    booktitle = "Proceedings of the 6th Conference of the Association for Machine Translation in the Americas: Technical Papers",
    month = sep # " 28 - " # oct # " 2",
    year = "2004",
    address = "Washington, USA",
    publisher = "Springer",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2004.amta-papers.6/",
    pages = "48--57",
    abstract = "German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implementation of the IBM Model 1, an HMMbased alignment and IBM Model 4, we measure the impact of normalizing inflectional morphology on German-English statistical word alignment. We demonstrate that normalizing inflectional morphology improves the perplexity of models and reduces alignment errors."
}