This paper presents the implementation part of the author’s doctoral research at the University of Cambridge. It provides a description of the Information Structure Transfer (IST), a machine translation prototype designed within the framework of the Spoken Language Translator (SLT by SRI, Cambridge/Palo Alto) and based on the Core Language Engine ([I]). The IST includes two discourse-processing modules: the pre-transfer Information Structure Activator (ISA) and the post-transfer Information Structure Generator (ISG). The IST prototype calculates and processes vital features of information structure explored in context of structural differences between positional and non-positional languages. It offers algorithmic solutions and an implementation framework for local discourse processing in machine translation. Under scrutiny is a web of interrelated factors such as pronominalization, anaphora resolution, zero anaphors, definiteness and constituent order.