@inproceedings{font-llitjos-etal-2004-error,
    title = "Error analysis of two types of grammar for the purpose of automatic rule refinement",
    author = "Font Llitj{\'o}s, Ariadna  and
      Probst, Katharina  and
      Carbonell, Jaime",
    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.21/",
    pages = "187--196",
    abstract = "This paper compares a manually written MT grammar and a grammar learned automatically from an English-Spanish elicitation corpus with the ultimate purpose of automatically refining the translation rules. The experiment described here shows that the kind of automatic refinement operations required to correct a translation not only varies depending on the type of error, but also on the type of grammar. This paper describes the two types of grammars and gives a detailed error analysis of their output, indicating what kinds of refinements are required in each case."
}