Computer understanding of natural language (NL) is commonlyconsidered as extracting "sense" from NL texts. This deprives theproblem of determinity, since the notion of "sense" lacks a formaldefinition. However, with a man-to-computer NL dialogue involved insome working process, any address by humans is nothing but a task forthe computer to fulfil. Then it is immaterial whether the computerunderstands the address text sense and even the very notion of"sense". Only the address task is to be accomplished. This means notrevealing morphologic, syntactic and other text structures, but onlyextracting data on the task. As a result, a new theory of NL dialogueunderstanding has been created, called "orientated linguistics". Thistheory has been brought to life as several practical systems, whichhave demonstrated an extremely reliable and correct understanding of aquite free and easy NL, a tiny resource consumption and simplereadjustment between various subject areas and, what is more, nationallanguages.
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