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Modern automatic text processing technologies

Keywords:

Yu.P. Kalinin – Dr. Sc. (Eng.), Professor, Head of Laboratory, Institute of Informatics Problems, FRC CSC RAS. E-mail: upkalinin@mail.ru A. A. Khoroshilov – Dr. Sc. (Eng.), Leading Research Scientist, Institute of Informatics Problems, FRC CSC RAS; Professor, Moscow Aviation Institute (National Research University). E-mail: khoroshilov@mail.ru A.A. Khoroshilov – Ph. D. (Eng.), Research Scientist, Institute of Informatics Problems, FRC CSC RAS. E-mail: alex_khoroshilov@mail.ru


The development of automated information technology depends on achievements in the study of human thinking, processes of speech communication between people and computer-based simulation of these processes. The stable phraseological word combinations are the principal means for expression of concept names in texts. The natural language is an universal means of perception, accumulation, storage and transmission of information. The text processing technologies should be universal, because the natural language is an universal means for communication and encompasses all areas of human activity. Today, the most popular procedures for semantic text information processing are: 1. Automatic classification, indexing and abstracting of documents. 2. Automatic recognition of semantic proximity of documents. 3. Machine translation of texts from one natural language to another. 4. Information search in monolingual and multilingual data bases using queries formulated in natural languages. 5. In-depth analytical and synthetic text processing and gaining of generalized information on its basis. In order to develop automated information technologies it is necessary to solve three problems: 1. Identify the conceptual structure of natural languages. 2. Identify the most stable out-of-context associative semantic relations between concepts. 3. Develop and modernize the basic procedures of semantic and syntactic analysis and synthesis of texts.
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