Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation
Christian Hardmeier, Sara Stymne, Jörg Tiedemann, Joakim Nivre · 2013
We describe Docent, an open-source decoder for statistical machine translation that breaks with the usual sentence-by-sentence paradigm and translates complete documents as units. By taking translation to the document level, our decoder can handle feature models with arbitrary discourse-wide dependencies and constitutes an essential infrastructure component in the quest for discourse-aware SMT models.