Paper: MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output

ACL ID C14-2026
Title MT-EQuAl: a Toolkit for Human Assessment of Machine Translation Output
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

MT-EQuAl (Machine Translation Errors, Quality, Alignment) is a toolkit for human assessment of Machine Translation (MT) output. MT-EQuAl implements three different tasks in an inte- grated environment: annotation of translation errors, translation quality rating (e.g. adequacy and fluency, relative ranking of alternative translations), and word alignment. The toolkit is web- based and multi-user, allowing large scale and remotely managed manual annotation projects. It incorporates a number of project management functions and sophisticated progress monitoring capabilities. The implemented evaluation tasks are configurable and can be adapted to several specific annotation needs. The toolkit is open source and released under Apache 2.0 license.