Mechanical translation and the problem of multiple meaning

It is argued that a thesaurus, or semantic classification, may be required in the resolution of multiple meaning for machine translation and allied purposes. The problem of constructing a thesaurus is then considered; this involves a method for defining the meanings or uses of words, and a procedure for classifying them.

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THE PRINCIPAL differences between the work at The University of Michigan and other work in machine translation is in the emphasis placed on the problem of multiple meaning and the approach to that problem. Our approach consists in translating small groups of words, listing in the dictionary multiple meanings under each word in the group, and finding algorithms which make it possible to choose the proper set of meanings for the group.

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THE UNIVERSITY OF MICHIGAN undertook research, late in 1955, in the analysis of language structure for mechanical translation. Emphasis was placed on the use of the contextual structure of the sentence as a means of reducing ambiguity and on the formulation of a set of operative rules which an electronic computer could use for automatically translating Russian texts into English.

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