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公开(公告)号:US20220179731A1
公开(公告)日:2022-06-09
申请号:US17349548
申请日:2021-06-16
Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE
Inventor: Minyoung JUNG , Saim SHIN , Jinyea JANG , Hyeontae SEO
Abstract: This application relates to a computing system and method for an automated program error repair. In one aspect, the computing system includes a storage, a preprocessing processor, and an automated error repair processor. The storage stores a program code. The preprocessing processor acquires the program code from the storage and preprocesses the program code. Preprocessing includes tokenizing the program code with tokens, converting the tokens into vectors, and adding location information for the tokens. The automated error repair processor receives the preprocessed program code as an input from the preprocessing processor, detects an error in the preprocessed program code, corrects the detected error, and outputs the error-corrected program code. Detecting and correcting the error are performed based on a deep learning result and the location information for the tokens.
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公开(公告)号:US20210005187A1
公开(公告)日:2021-01-07
申请号:US16503953
申请日:2019-07-05
Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE
Inventor: Saim SHIN , Hyedong JUNG , Jinyea JANG
Abstract: A user adaptive conversation apparatus generating a talk for a conversation based on emotional and ethical states of a user. A voice recognition unit converts a talk of the user in a conversational situation into a natural language script form to generate talk information. An artificial visualization unit generates situation information by recognizing talking situation from a video and generates intention information indicating an intention of the talk. A natural language analysis unit converts the situation information and the intention information into the natural language script form. A natural language analysis unit analyzes the talk information, the intention information, and the situation information. A conversation state tracing unit generates current talk state information representing a meaning of the talk information by interpreting the talk information according to the intention information and the situation information, and determines next talk state information including candidate responses corresponding to the current talk status information.
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