MQM

MQM, or Multidimensional Quality Metrics, is a framework used to evaluate translation quality by categorizing and measuring different types of translation errors. It provides a standardized way to assess how well a translation meets linguistic and quality expectations.

MQM is widely used in translation quality evaluation, localization workflows, and machine translation evaluation.

How MQM Works

MQM evaluates translations by identifying and classifying different error types.

Error Categorization Translation issues are grouped into categories such as accuracy, fluency, terminology, and style.

Severity Levels Each error is assigned a severity level, such as minor, major, or critical.

Structured Evaluation Reviewers analyze translated content and record errors based on the MQM framework.

Quality Scoring The collected error data is used to generate quality scores and identify areas for improvement.

Benefits of MQM

MQM provides a structured approach to measuring translation quality.

• Standardizes translation quality evaluation
• Helps identify recurring translation issues
• Supports consistent quality assessment across languages
• Enables measurable translation performance metrics
• Improves quality management in localization workflows

MQM in Translation and Localization

Many organizations use MQM to evaluate both human and machine translations. The framework allows teams to analyze translation errors systematically and improve overall translation quality.

LILT’s AI-powered translation platform supports continuous quality improvement by combining human review, automated evaluation, and feedback loops to improve translation performance across multilingual content workflows.