Skip to main content
The KANT Machine Translation System: From R&D to Initial Deployment
Computer Science Department
  • Eric Nyberg, Carnegie Mellon University
  • Teruko Mitamura, Carnegie Mellon University
  • Jaime G. Carbonell, Carnegie Mellon University
Date of Original Version
Conference Proceeding
Abstract or Description
The KANT system (Knowledge-based, Accurate Natural-language Translation) is a set of software tools for automatic and interactive analysis of source text and generation of target text (Mitamura, et al., 1991). It has been primarily targeted towards the translation of technical text in controlled subdomains (Mitamura and Nyberg, 1995). Initially an outgrowth of research ideas following the completion of the KBMT-89 system at CMU (Goodman and Nirenburg, 1990), KANT has been scaled up for multilingual document production in an industrial setting. In this paper, we discuss the facets of KANT which are of potential interest to the LISA audience: its technical foundation, its intended domain(s) of application, its current performance, and our future plans regarding its application and commercialization.
Citation Information
Eric Nyberg, Teruko Mitamura and Jaime G. Carbonell. "The KANT Machine Translation System: From R&D to Initial Deployment" (1997)
Available at: