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Error mining in parsing results Bent Sago and RIC de la Lingerie Project ATOLL INRIA Domain de Voluceau, B.P. 105 78153 Le Cheney CEDEX, France Benoit. Sago, Eric.DE la lingerie INRIA.fr Abstract

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What is error mining in parsing?

Error mining in parsing refers to the process of identifying and analyzing errors or issues that occur during the parsing stage of data processing. It involves finding and correcting parsing errors to ensure the accurate interpretation of data.

Who is required to file error mining in parsing?

Any individual or organization that deals with data parsing and processing is required to file error mining reports. This typically includes software developers, data analysts, and companies involved in data processing activities.

How to fill out error mining in parsing?

Filling out error mining in parsing involves documenting and reporting the details of errors encountered during the parsing process. This may include recording the type of error, the affected data, and any relevant error codes or messages. The specific process and format for reporting may vary depending on the system or tools used.

What is the purpose of error mining in parsing?

The purpose of error mining in parsing is to identify, analyze, and fix errors or issues that occur during the parsing stage. By doing so, it helps improve the accuracy and reliability of data processing, ensuring that the parsed data is correctly interpreted and usable for further analysis or applications.

What information must be reported on error mining in parsing?

The information that must be reported on error mining in parsing includes the type of error encountered, the affected data or files, any error codes or messages received, the date and time of the error occurrence, and any additional details that may be relevant to the analysis or resolution of the error.

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