Rule-Based Partial MT Using Enhanced Finite-State Grammars in NooJ

摘要

The paper argues for the viability and utility of partial machine translation (MT) in multilingual information systems. The notion of partial MT is modelled on partial parsing and involves a bottom-up pattern matching approach where the finite-state transducers assign translation equivalents locally. The article focuses on the linguistic underpinnings of the approach and gives illustrations of its implementation within the NooJ finite-state linguistic development system.