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 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.
Original language | English |
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Title of host publication | ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the System Demonstrations |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 197-203 |
Number of pages | 7 |
ISBN (Electronic) | 9781952148040 |
State | Published - 2020 |
Event | 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 - Virtual, Online, United States Duration: 5 Jul 2020 → 10 Jul 2020 |
Publication series
Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
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ISSN (Print) | 0736-587X |
Conference
Conference | 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 5/07/20 → 10/07/20 |
Bibliographical note
Publisher Copyright:© 2020 Association for Computational Linguistics