Paper: Improving Interactive Machine Translation via Mouse Actions

ACL ID D08-1051
Title Improving Interactive Machine Translation via Mouse Actions
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008

Although Machine Translation (MT) is a very active research field which is receiving an in- creasing amount of attention from the research community, the results that current MT sys- tems are capable of producing are still quite far away from perfection. Because of this, and in order to build systems that yield correct translations, human knowledge must be inte- grated into the translation process, which will be carried out in our case in an Interactive- Predictive (IP) framework. In this paper, we show that considering Mouse Actions as a sig- nificant information source for the underly- ing system improves the productivity of the human translator involved. In addition, we also show that the initial translations that the MT system provides can be quickly improved by an expert by only perfo...