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The Department of Computational Linguistics investigates the integration of cross-sentence features in Statistical Machine Translation (SMT) systems to improve the quality of their translations. This research is motivated by the state-of-the-art Machine Translation (MT) systems which operate at sentence-level and do not propagate information through the sentences. A sequence of sentences in a document shows connectedness and this unawareness of discourse leads to incorrect translations.
The MODERN project is led by Idiap Research Institute and it also counts with the collaboration of theUtrecht Institute of Linguistics OTS and the University of Geneva, tackling different discourse-related problems.
The project was funded as a Sinergia project by the Swiss National Science Foundation and was running from August 2013 to September 2017.