The Logovista English-Japanese Machine Translation System

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Authors: Barton D. Wright
Cited by: 0

Abstract

This paper documents the architecture, development practices, and preserved artifacts of the Logovista English--Japanese machine translation system, a large, explicitly rule-based MT system that was developed and sold commercially from the early 1990s through at least 2012. The system combined hand-authored grammatical rules, a large central dictionary encoding syntactic and semantic constraints, and chart-based parsing with weighted interpretation scoring to manage extensive structural ambiguity. The account emphasizes how the system was extended and maintained under real-world usage pressures, including regression control, ambiguity management, and the limits encountered as coverage expanded. Unlike many rule-based MT systems described primarily in research settings, Logovista was deployed for decades and evolved continuously in response to practical requirements. The paper is intended as a technical and historical record rather than an argument for reviving rule-based MT, and describes the software and linguistic resources that have been preserved for potential future study.

Fields of Study & Subjects

Natural Language Processing Techniques Speech and dialogue systems Translation Studies and Practices

Publication details

Journal / source
arXiv (Cornell University)
Publication date
8 February 2026
Language
EN
Document type
Preprint