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Методы синтеза естественно- языковых текстов в экспертных системах

Методы синтеза естественно- языковых текстов в экспертных системах

Abstract

Был проведен анализ методов синтеза естественно-языковых текстов в экспертных системах, определены и проанализированы основные этапы синтеза, а также определена целесообразность использования того или иного метода в различных задачах. Рассмотрены проблемы, которые встречаются при семантическом синтезе естественно-языковых текстов. Библиогр.: 10 назв. Methods of synthesis of natural language texts in expert systems were analysed . Have been identified and analyzed the main stages of the synthesis and determined the feasibility of using a particular method in various tasks. Problems encountered in the synthesis of semantic natural language texts was analyzed. Refs.: 10 titles.

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Keywords

synthesis, analysis, лингвистический процессор, автоматическая генерация текстов, шаблонные системы, анализ методов, синтез текста, expert systems, natural language text, интерфейс человек-компьютер

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green