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Specialised Languages for Linguistic Programming, or SLLPs (like ROBRA, Osystems, Augmented Transition Networks, etc.), in Machine Translation (MT) systems may be considerably efficient in terms of processing power, but its procedural nature makes it quite difficult for linguists to describe natural languages in a declarative and natural way. Furthermore, the effort can be quite wasteful in the sense that different grammars will have to be written for analysis and for generation, as vei l as for different MT systems, 0n the other hand, purely linguistic formalisms (like those for Government and Binding, Lexical Functional Grammars, General Phrase Structure Grammars, etc.) may prove to be adequate for natural language description, but it is not quite clear h e y they can be adapted for the purposes of MT in a natural way. Besides, MT--specific problems, like appositions, ambiguities, etc., have yet to find their place in linguistics.

Generation of synthesis programs in ROBRA (ARIANE) from string-tree correspondence grammars