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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 manto-computer NL dialogue involved in some working process, any address by the human side 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 extremely reliable and correct understanding of quite free and easy NL, tiny resource consumption and simple readjustment between various subject areas and, what is more, national languages.
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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 manto-computer NL dialogue involved in some working process, any address by the human side 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 extremely reliable and correct understanding of quite free and easy NL, tiny resource consumption and simple readjustment between various subject areas and, what is more, national languages.