Skip to main content

and
  1. No Access

    Article

    Automation of legal sensemaking in e-discovery

    Retrieval of relevant unstructured information from the ever-increasing textual communications of individuals and businesses has become a major barrier to effective litigation/defense, mergers/acquisitions, an...

    Christopher Hogan, Robert S. Bauer, Dan Brassil in Artificial Intelligence and Law (2010)

  2. No Access

    Chapter and Conference Paper

    An Evaluation of the Multi-engine MT Architecture

    The Multi-Engine MT (MEMT) architecture combines the outputs of multiple MT engines using a statistical language model of the target language. It has been used successfully in a number of MT research systems, ...

    Christopher Hogan, Robert E. Frederking in Machine Translation and the Information Soup (1998)