NameTag 3 Multilingual Model 260521
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Straková, Jana, 2026,
NameTag 3 Multilingual Model 260521, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-6163.
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Date issued
2026-05-21
Size
1.8 gb
Description
This is a trained model for the supervised machine learning tool NameTag 3 (https://ufal.mff.cuni.cz/nametag/3/). NameTag 3 is an open-source tool for both flat and nested named entity recognition (NER). NameTag 3 identifies proper names in text and classifies them into a set of predefined categories, such as names of persons, locations, organizations, etc. The model was trained jointly on 25 flat NE corpora of 20 languages: Arabic, Chinese, Croatian, Czech, Danish, Dutch, English, German, Greek, Hebrew, Maghrebi Arabic French, Norwegian Bokmål, Norwegian Nynorsk, Portuguese, Serbian, Slovak, Slovenian, Spanish, Swedish, and Ukrainian. The model documentation can be found at https://ufal.mff.cuni.cz/nametag/3/models#multilingual . If you use this tool for scientific work, please give us credit by referencing https://aclanthology.org/2025.acl-demo.4/ .
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Acknowledgement
MŠMT
Project code:CZ.02.01.01/00/22_008/0004605
Project name:Přírodní a antropogenní georizika (GEORIZIKA)
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- nametag3-multilingual-260521.zip
- Size
- 1.75 GB
- Format
- application/zip
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- MD5
- 773a2164e9a3e42746614a6edca2babd

- nametag3-multilingual-260521
- LICENSE20 kB
- README.md2 kB
- checkpoint.weights.h52 GB
- options.json6 kB
- udpipe.tokenizer1 MB
- mappings.pickle1 kB

