%0 Conference Proceedings %T Nakdan: Professional Hebrew Diacritizer %A Shmidman, Avi %A Shmidman, Shaltiel %A Koppel, Moshe %A Goldberg, Yoav %Y Celikyilmaz, Asli %Y Wen, Tsung-Hsien %S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations %D 2020 %8 July %I Association for Computational Linguistics %C Online %F shmidman-etal-2020-nakdan %X We present a system for automatic diacritization of Hebrew Text. The system combines modern neural models with carefully curated declarative linguistic knowledge and comprehensive manually constructed tables and dictionaries. Besides providing state of the art diacritization accuracy, the system also supports an interface for manual editing and correction of the automatic output, and has several features which make it particularly useful for preparation of scientific editions of historical Hebrew texts. The system supports Modern Hebrew, Rabbinic Hebrew and Poetic Hebrew. The system is freely accessible for all use at http://nakdanpro.dicta.org.il %R 10.18653/v1/2020.acl-demos.23 %U https://aclanthology.org/2020.acl-demos.23 %U https://doi.org/10.18653/v1/2020.acl-demos.23 %P 197-203