METHOD FOR PROVIDING ARTIFICIAL INTELLIGENCE BASED NATURAL LANGUAGE CORPUS BUILDING SERVICE USING INTERACTIVE LEARNING BETWEEN ARTIFICIAL COLLECTOR, ANALYZER AND INSPECTOR, AND BUILDING

摘要

A method for constructing a natural language corpus through mutual learning of an artificial intelligence speech recognition based checker and analyzer using a system for providing a natural language corpus construction service through mutual learning of a collector, a checker, and an analyzer is provided, and at least one kind of media Collector that collects the raw corpus including natural language through, and collects the results of analyzing the natural language sentence included in the corpus collected from the collector from experts, and tags the sentences included in the analysis result into at least one attribute (Tagging) ) And human error corrector, analyzer that tags and analyzes sentences included in the original corpus with at least one attribute, corpus collected from experts and inspected by the inspector, and the natural language sentence included in the corpus was analyzed by the analyzer A natural language corpus construction service providing server including a constructing unit that constructs a corpus that has been corrected for tagging and mechanical errors corrected by an expert as a corpus, and transmits the mechanical error of the tagged and analyzed natural language sentences received from the analyzer to the constructing unit, , Tagging a natural language sentence with at least one attribute, and transmitting a result of analyzing the sentence to a checker.