NameTag 3 Multilingual Model 250203
Please use the following text to cite this item or export to a predefined format:
Straková, Jana and Straka, Milan, 2025,
NameTag 3 Multilingual Model 250203, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-5859.
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Item identifier
Project URL
Date issued
2025-02-03
Size
1.7 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 21 flat NE corpora of 17 languages: Arabic, Chinese, Croatian, Czech, Danish, Dutch, English, German, Maghrebi Arabic French, Norwegian Bokmaal, Norwegian Nynorsk, Portuguese, Serbian, Slovak, Spanish, Swedish, and Ukrainian. The model documentation can be found at https://ufal.mff.cuni.cz/nametag/3/models#multilingual.
Acknowledgement
MŠMT
Project code:CZ.02.01.01/00/22_008/0004605
Project name:Přírodní a antropogenní georizika (GEORIZIKA)
Grantová agentura České republiky
Project code:GX20-16819X
Project name:LUSyD – Language Understanding: from Syntax to Discourse
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Files in this item
- Name
- nametag3-multilingual-250203.zip
- Size
- 1.74 GB
- Format
- application/zip
- Description
- Zip
- MD5
- 4c10516c934ec101561e593fbb243473

- nametag3-multilingual-250203
- LICENSE20 kB
- README.md2 kB
- checkpoint.weights.h52 GB
- options.json5 kB
- udpipe.tokenizer1 MB
- mappings.pickle1 kB

