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Retraining Machine Translation with Post-edits to Increase Post-editing Productivity in Content Management Systems

Publication at Faculty of Mathematics and Physics |
2012

Abstract

The post-editing of machine translated content has proved to be more productive than translating from scratch in the localisation industry. A study carried out at Autodesk shows that Machine Translation (MT) and post-editing of technical documentation by professional translators provides a sustained productivity increase across different languages.