Ballesteros, MiguelWanner, Leo2017-01-312017-01-312016Ballesteros M, Wanner L. A neural network architecture for multilingual punctuation generation. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing; 2016 Nov. 1-5; Austin (TX, USA). [place unknown]: ACL; 2016. p. 1048-53http://hdl.handle.net/10230/28021Even 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/npresent 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. Multilingual experiments show that it achieves high accuracy on the full range of punctuation marks across languages.application/pdfeng© ACL, Creative Commons Attribution 4.0 International (CC BY 4.0)PuntuacióTractament del llenguatge natural (Informàtica)info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess