Papers with critical error detection

1 papers
Towards Precise Localization of Critical Errors in Machine Translation (2024.findings-acl)

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Challenge: Existing critical error detection focuses on identifying sentence-level errors, leaving the precise localization of such errors unaddressed.
Approach: They propose a task to detect critical errors at a fine-grained level in machine translation sentences.
Outcome: The proposed method outperforms existing methods and LLMs in English to Korean translations.

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