InhaltsangabeMT Past.- Five Generations of MT.- An Artificial Intelligence Approach to Machine Translation.- It Works but How Far Can It Go: Evaluating the SYSTRAN MT System.- MT Present.- Where Am I Coming From: The Reversibility of Analysis and Generation in Natural Language Processing.- What are Interlinguas for MT: Natural Languages, Logics or Arbitrary Notations?.- Stone Soup and the French Room: The Statistical Approach to MT at IBM.- The Revival of US Government MT Research in 1990.- The Role of Linguistic Knowledge Resources in MT.- The Automatic Acquisition of Lexicons for an MT System.- MT Future.- Senses and Texts.- Sense Projection.- Lexical Tuning.- What Would Pragmatics-Based Machine Translation be Like?.- Where was MT at the End of the Century: What Works and What Doesn't?.- The Future of MT in the New Millennium.