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Even syntactically correct sentences are perceived as awkward if they do not contain correct punctuation. Still, the problem of automatic generation of punctuation marks has been largely neglected for a long time. We present a novel model that introduces punctuation marks into raw text material with transition-based algorithm using LSTMs. Unlike the state-of-the-art approaches, our model is language-independent and also neutral with respect to the intended use of the punctuation. Multilingualdoi:10.18653/v1/d16-1111 dblp:conf/emnlp/BallesterosW16 fatcat:xgntnaogljex5pynbp23gctvtm