Abstract
This work, the title of which means 'Machine Translation and Applied Linguistics: Problems in the Development of Automatic Translation Systems,' and which is published by the Pedagogical Institute for Foreign Languages in Moscow, is a collection of papers on the French-Russian MT project of the Center for Translation in Moscow. The project is known by its Russian acronym frap, for Francuzsko-Russkij Avtomatides/dj Perevod ('French-Russian Automatic Translation'). The volume is a fairly thorough discussion of theoretical and methodological issues related to this system which, until now, has been described in the literature in only very general terms. Eight papers in the volume discuss various aspects of FRAP. The introductory article by N.N. Leont'eva, Senior Research Supervisor of the project, describes the frap information processing and translation system and the need for a component in MT systems that allows for a transition to a different semantic domain during transfer. A paper by E.E. Lovtskij and L. Ju. Korostelev emphasizes the programming rather than the linguistic point of view in the initial analysis of the source language. E.G. Sokolova discusses formal syntactic representation in terms of functional grammar. Initial and final syntactic representations of a sentence are discussed, as are some questions of syntactic ambiguity. Three of the papers focus on semantics, and they are the most intriguing in this volume. I.M. KundrjaSova describes the semantic dictionary of the system and its role in semantic analysis. The semantic dictionary is also the subject of a short paper by A.E. GureviC, who discusses the computational semantics of parametric nouns. The third, by Leont'eva, KundrjaSova, and O.B. MaleviC, discusses sentence-bound semantic analysis and summarizes some experimental work in semantic interpretation of syntactic structures. The authors posit that the aggregation of semantic representations of the sentences in a text can be regarded
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