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Delve into the detailed analysis of automatic filtering effectiveness, revealing its impact on error identification. With only 9.6% of randomly selected dialogs containing errors, the study showcases 130 error cases identified through automatic filtering. Notably, a concentration of errors is observed in the 60%−100% similarity range, emphasizing the precision of the filtering process.

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