Publication

Tools and Guidelines for Principled Machine Translation Development

Aranberri Nora, Eleftherios Avramidis, Aljoscha Burchardt, Ondrej Klejch, Martin Popel, Maja Popovic

In: Proceedings of the Tenth International Conference on Language Resources and Evaluation. International Conference on Language Resources and Evaluation (LREC-2016) Tenth International Conference on Language Resources and Evaluation May 23-28 Portoro¸ Slovenia Pages 1877-1882 European Language Resources Association 5/2016.

Abstract

This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods. Our aim is to assess, compare and improve MT system variants. We hereby report on novel tools and practices that support various measures, developed in order to support a principled and informed approach of MT development. Our toolkit for automatic evaluation showcases quick and detailed comparison of MT system variants through automatic metrics and n-gram feedback, along with manual evaluation via edit-distance, error annotation and task-based feedback.

Weitere Links

711_Paper.pdf (pdf, 1 MB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz