Nakdan: Professional Hebrew Diacritizer

Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, Yoav Goldberg

Abstract Paper Demo Share

System Demonstrations Demo Paper

Demo Session 4A-2: Jul 7 (17:00-18:00 GMT)
Demo Session 4A-3: Jul 8 (17:00-18:00 GMT)
Abstract: 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 https://nakdanpro.dicta.org.il
You can open the pre-recorded video in a separate window.
NOTE: The SlidesLive video may display a random order of the authors. The correct author list is shown at the top of this webpage.

Similar Papers

Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation
Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi, Roberto Navigli,
A representative figure from paper demo.69
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning,
A representative figure from paper demo.115
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua,
A representative figure from paper main.100
Embedding-based Scientific Literature Discovery in a Text Editor Application
Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H.R. Hahnloser,
A representative figure from paper demo.93