CONF Meyer_DISCOMT-2_2013/IDIAP Machine Translation with Many Manually Labeled Discourse Connectives Meyer, Thomas Polakova, Lucie disambiguation discourse connectives Statistical Machine Translation EXTERNAL http://publications.idiap.ch/attachments/papers/2013/Meyer_DISCOMT-2_2013.pdf PUBLIC Proceedings of the 1st DiscoMT Workshop at ACL 2013 (51st Annual Meeting of the Association for Computational Linguistics) Sofia, Bulgaria 2013 43-50 The paper presents machine translation experiments from English to Czech with a large amount of manually annotated discourse connectives. The gold-standard discourse relation annotation leads to better translation performance in ranges of 4–60% for some ambiguous English connectives and helps to find correct syntactical constructs in Czech for less ambiguous connectives. Automatic scoring confirms the stability of the newly built discourse-aware translation systems. Error analysis and human translation evaluation point to the cases where the annotation was most and where less helpful.