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Machine translation is increasingly becoming part of human professional translation workflows, where raw translation outputs produced by a machine are reviewed, corrected and certified by human translation professionals. Compared to translation from scratch, this changes text interaction from production to revision and review. This raises the question whether traditional text interaction modalities such as keyboard and mouse are best suited to modern postediting (PE) tasks? In our research, we investigate the use of touch, pen, gestures, and speech in addition to keyboard and mouse, as well as combined interaction modalities. We also explored the use of language technologies such as translation quality estimation in PE and automatic PE. 2b1af7f3a8