Multidimensional Quality Metrics (MQM) is a framework for analytic Translation Quality Evaluation (TQE). It can be applied to both human translation, machine translation and AI-generated translation.

MQM Full is the full repository of error types. Implementers should choose error types with the granularity that makes sense in their implementation environment. MQM-Full expands to provide a wide range of more detailed error types that can be …

The MQM FULL Typology Terminology Errors arising when a term does not conform to normative subject field or organizational terminology standards or when a term in the target content is not the correct, normative equivalent of the corresponding term in the source content.

May 10, 2019 · The MQM Scoring Model is an extension of the scoring model given in MQM 1.0. It combines error counts with scoring parameters to produce usable, defensible quality measures.

Feb 18, 2014 · This document defines the Multidimensional Quality Metrics (MQM) framework. It contains a description of the issue types, scoring mechanism, and markup, as well as informative mappings to various quality systems.

Discussion: In MQM, the error attributes are the three defining characteristics of an error—error type, error severity level, and error root cause. Discussion: The maximum and best value for a quality score is the maximum quality score, usually 100.

Apr 22, 2018 · MQM, Multidimensional Quality Metrics, is a translation quality assessment framework enables users to customize their own metrics for quality evaluation. It was developed to create shared quality metrics system for both human and machine translation and to improve automatic translation quality estimation.

The MQM-Full Master spreadsheet can be used to study or train evaluators, and select items to be used in an evaluation scorecard. Please press the button below to download the MQM-Full Master spreadsheet.

In response, the EU-funded QTLaunchPad project has developed the “multidimensional quality metrics” (MQM) framework for assessing quality for both translated texts and source texts in the context of translation.

Dec 30, 2014 · We collect sufficient Multi-Dimensional Quality Metrics (MQM) and Direct Assessment (DA) annotations to create test sets and meta-evaluate a plethora of automatic evaluation metrics.