Papers by Wesam El Sayed

1 papers
LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation (2026.findings-acl)

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Challenge: Existing MT evaluation frameworks fail to capture dialect- and culture-specific errors in diglossic languages.
Approach: They propose a hierarchical error taxonomy for diagnosing MT errors through six linguistic levels: sociolinguistics, pragmatics, semantics, morphosyntax, orthography, and graphetics.
Outcome: The proposed framework produces 6,113 labeled error spans across 3,495 unique erroneous sentences . it is language-agnostic and can be easily applied to or adapted for other languages.

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