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Study of Differente Interactive Editing Operations in an Assisted Transcription System. Proceedings of the 13th International Conference on Multimodal Interaction, 2011.To date, automatic handwriting recognition systems are far from being perfect. Therefore, once the full recognition pro- cess of a handwritten text image has ﬁnished, heavy human intervention is required in order to correct the results of such systems. As an alternative, an interactive system has been proposed in previous works. This alternative follows an In- teractive Predictive paradigm and the results show that signiﬁcant amounts of human eﬀort can be saved. So far only word substitutions and pointer actions have been considered in this interactive system. In this work, we study diﬀerent interactive editing operations that can allow for more eﬀective, ergonomic and friendly interfaces.