no code implementations • EACL 2017 • Veronika Vincze, Katalin Simk{\'o}, Zsolt Sz{\'a}nt{\'o}, Rich{\'a}rd Farkas
In this paper, we present how the principles of universal dependencies and morphology have been adapted to Hungarian.
no code implementations • WS 2014 • Anders Bj{\"o}rkelund, {\"O}zlem {\c{C}}etino{\u{g}}lu, Agnieszka Fale{\'n}ska, Rich{\'a}rd Farkas, Thomas Mueller, Wolfgang Seeker, Zsolt Sz{\'a}nt{\'o}
no code implementations • LREC 2014 • Veronika Vincze, Viktor Varga, Katalin Ilona Simk{\'o}, J{\'a}nos Zsibrita, {\'A}goston Nagy, Rich{\'a}rd Farkas, J{\'a}nos Csirik
The new version of the corpus made it possible to train magyarlanc, a data-driven POS-tagger of Hungarian on a dataset with the new harmonized codes.
no code implementations • WS 2013 • Djam{\'e} Seddah, Reut Tsarfaty, S K{\"u}bler, ra, C, Marie ito, Jinho D. Choi, Rich{\'a}rd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepi{\'o}rkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woli{\'n}ski, Alina Wr{\'o}blewska, Eric Villemonte de la Clergerie
no code implementations • TACL 2013 • Bernd Bohnet, Joakim Nivre, Igor Boguslavsky, Rich{\'a}rd Farkas, Filip Ginter, Jan Haji{\v{c}}
Joint morphological and syntactic analysis has been proposed as a way of improving parsing accuracy for richly inflected languages.