Computer understanding of natural language (NL) is commonly considered as extracting "sense" from NL texts. This deprives the problem of determinity, since the notion of "sense" lacks a formal definition. However, with a man-to-computer NL dialogue involved in some working process, any address by humans is nothing but a task for the computer to fulfil. Then it is immaterial whether the computer understands the address text sense and even the very notion of "sense". Only the address task is to be accomplished. This means not revealing morphologic, syntactic and other text structures, but only extracting data on the task. As a result, a new theory of NL dialogue understanding has been created, called "orientated linguistics". This theory has been brought to life as several practical systems, which have demonstrated an extremely reliable and correct understanding of a quite free and easy NL, a tiny resource consumption and simple readjustment between various subject areas and, what is more, national languages.
Pragmatic Thinking in the Course of Subject-Object Interaction; Operative Activity of a Subject; Possibilites for Use of NL in a Man-to-Computer Dialogue; Conventional Linguistics in Investigations on Language and in Computer Understanding of NL Texts; Narrowing of SG-SA Dialogue Boundaries in Orientated Linguistics; NL Task Text Content in a K-Stationary Environment; Man-to-Man Interaction as orientated Linguistics Views It; Elements of Orientated Linguistics in Situations of Great K, Orientated Linguistics and Error-Ignore Conception; Digital Emulation of the Mis-Spellings Ignoring Effect: Formulation of the Problem. (Part contents).
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