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Miguel Domingo, Álvaro Peris, Francisco Casacuberta. Interactive-Predictive Translation based on Multiple Word-Segments. Proceedings of EAMT, 2016. pp. 282-291.

Current machine translation systems require human revision to produce high-quality translations. This is achieved through a post-editing process or by means of an interactive hu- man–computer collaboration. Most protocols belonging to the last scenario follow a left-to-right strategy, where the prefix of the translation is iteratively increased by successive validations and corrections made by the user. In this work, we propose a new interactive protocol which allows the user to validate all correct word sequences in the translation generated by the system, breaking the left-to-right barrier. We evaluated our proposal through simulated experiments, obtaining large reductions of the human effort.