Method for improving quality inspection efficiency and accuracy through Xbench comparison tool

Abstract

The invention discloses a method for improving quality inspection efficiency and accuracy by using an Xbench comparison tool. The method comprises the following steps: marking a quality inspection result which is misreported or needs to be ignored with filling colors; reapplying the quality inspection result to a new quality inspection report; and reducing reconfirmation of confirmed content. The invention belongs to the technical field of quality inspection, and particularly provides a method for improving quality inspection efficiency and accuracy by using an Xbench comparison tool, which has the advantages of good user experience, simplicity in operation, convenience in use, easiness in identification of a confirmation result, quickness in operation and capability of improving the quality inspection efficiency.

Description

technical field [0001] The invention belongs to the technical field of quality inspection, and specifically refers to a method for improving the efficiency and accuracy of quality inspection by an Xbench comparison tool. Background technique [0002] Xbench is a quality control tool widely used in the translation industry. It can detect a series of quality problems, such as translation consistency, terminology consistency, missing translation, etc., and supports exporting the detection results to Excel files. The requirements of different projects have certain differences, and some detected quality problems are false positives. For example, some sentences are not translated by the customer, which cannot be counted as missing translations, or some original texts are not translated due to singular, plural, and tense words. Distortion, hyphenation and other differences, the translation can be translated into the same content, this situation can not be counted as a quality probl...

AI Technical Summary

Problems solved by technology

The requirements of different projects have certain differences, and some detected quality problems are false positives. For example, some sentences are not translated by the customer, which cannot be counted as missing translations, or some original texts are not translated due to singular, plural, and tense words. Distortion, hyphenation and other differences, the translation can be translated into the same content, this situation can not be counted as a quality problem, each round of quality inspection must be re-confirmed for false positives, which reduces the efficiency of quality inspection work and increases Enterprise operating costs, the greater the proportion of false positives, the higher the impact

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