Multidimensional Quality Metrics (MQM): A Framework for Declaring and Describing Translation Quality Metrics
Abstract
In recent years translation quality evaluation has emerged as a major, and at times contentious, topic. Despite a focus on systematizing the evaluation of translation quality, the industry landscape is still highly fragmented, in part because different kinds of translation projects require very different evaluations of quality. In addition, human and machine translation (MT) quality evaluation methods have been fundamentally different in kind, preventing comparison of MT with human translation. The lack of clarity has contributed to an environment in which requesters of translation often cannot be certain whether or not a translation meets their needs or the needs of end users and where providers are unclear about what requesters need and want. In response the EU-funded QTLaunchPad project has developer the Multidimensional Quality Metrics (MQM) framework, an open an extensible system for declaring and describing translation quality metrics using a shared vocabulary of “issue types”.
Keywords
machine translation, translation quality, metrics, issues typesReferences
Banerjee, Satanjeev & Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of Workshop on Intrinsic and Extrinsic Evaluation Measures for MT and/or Summarization at the 43rd Annual Meeting of the Association of Computational Linguistics (ACL).
House, Juliane. 1997. Translation Quality Evaluation: A Model Revisited. Tübingen: Gunter Narr.
House, Juliane. 2008. Beyond intervention: Universals in translation? Trans-Kon 1(1):6–19.
Papineni, Kishore, Salim Roukos, Todd Ward & Wei-Jing Zhu. 2002. BLEU: A method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meet-ing of the Association for Computational Linguistics (ACL), 311–18.
Published
Downloads
Copyright (c) 2014 Arle Lommel, Hans Uszkoreit, Aljoscha Burchardt

This work is licensed under a Creative Commons Attribution 4.0 International License.