System for providing korean sentence rephraser service

A system for providing Korean sentence correction services, comprising:

• a user terminal that inputs a Korean sentence, selects a type corresponding to correction or generation of the Korean sentence, and outputs corrected results of the Korean sentence when the correction is selected;
• and
• a correction service providing server including a construction unit that constructs a Korean correction process using large language model (LLM)-based generative artificial intelligence (AI), a correction unit that performs correction on the Korean sentence using the generative AI when the user terminal selects the correction as the type after inputting the Korean sentence, a transmission unit that provides the corrected results to the user terminal, a correction history management unit that stores, as correction data, a result selected by the user terminal among the corrected results in the correction history, a tuning unit that performs human-in-the-loop (HITL) machine learning to reinforce the generative AI using the correction data, and a fining unit that accumulates the correction data to construct a database and perform fine-tuning of the LLM,
• wherein the correction service providing server performs correction to change a speech utterance, which is spoken language spoken in a YouTuber's video, into written language for publishing as a book, and changes the YouTuber's speech utterance into written language through a flow of the video, speech utterance extraction, text-to-speech (TTS), and tone correction,
• summarizes the spoken language corresponding to the speech utterance in the video, and then summarizes spoken language text through abstractive summarization of reinterpreting an original to generate a summary with different expressions from main text, which is a method of converting the summarized spoken language into the written language, in order to remove unnecessary content included in the video, and
• is provided as an extension program in a user's online writing environment, uses an application programming interface (API) gateway method that uses multiple LLMs, and performs HITL machine learning using correction data of the user.