The year 2024 marks the 10th anniversary of the Multidimensional Quality
Metrics (MQM) framework for analytic translation quality evaluation. The MQM
error typology has been widely used by practitioners in the translation and
localization industry and has served as the basis for many derivative projects.
The annual Conference on Machine Translation (WMT) shared tasks on both human
and automatic translation quality evaluations used the MQM error typology.
The metric stands on two pillars: error typology and the scoring model. The
scoring model calculates the quality score from annotation data, detailing how
to convert error type and severity counts into numeric scores to determine if
the content meets specifications. Previously, only the raw scoring model had
been published. This April, the MQM Council published the Linear Calibrated
Scoring Model, officially presented herein, along with the Non-Linear Scoring
Model, which had not been published before.
This paper details the latest MQM developments and presents a universal
approach to translation quality measurement across three sample size ranges. It
also explains why Statistical Quality Control should be used for very small
sample sizes, starting from a single sentence.

该论文详细介绍了最新的 MQM 发展，并提出了一种适用于三种样本大小范围的通用翻译质量测量方法，还介绍了为非常小的样本大小采用统计质量控制的原因，起点为单个句子。