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This paper shows that the automatic labeling of discourse connectives with the relations they signal, prior to machine translation (MT), can be used by phrase-based statistical MT systems to improve their translations. This improvement is demonstrated here when translating from English to four target languages -French, German, Italian and Arabic -using several test sets from recent MT evaluation campaigns. Using automatically labeled data for training, tuning and testing MT systems isdoi:10.1109/taslp.2015.2422576 fatcat:3k6j26yd3zfarju3nelavzrtwu