Along this direction our contributions are: • The first application of online multitask learning to QE, geared to the challenges posed by CAT technology.
indeed, despite the STL in downward error trend, it's worth remarking that an increased competitiveness would come at the cost of: i) collecting large amounts of annotated data and ii) integrating the model in a complex CAT architecture organized as a pool of independent QE components.