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CTexT Afrikaans FLAIR Part of Speech tagger model
The CTexT Afrikaans FLAIR Part of Speech tagger model is a neural part of speech tagger model based on the FLAIR framework (Akbik et al. 2019), and includes Afrikaans Glove (Pennington et al., 2014) and FLAIR embeddings (Akbik et al. 2018) from the CTexT Afrikaans word and string embeddings. The model is trained on a collection of 100 000 part of speech annotated tokens, including the NCHLT Afrikaans annotated data.
Roald Eiselen
Roald.Eiselen@nwu.ac.za
Centre for Text Technology (CTexT)
Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0): https://creativecommons.org/licenses/by-nc/4.0/
Afrikaans
Eiselen, Roald
Eiselen, Roald
FLAIR; GloVe; Neural sequence labelling; Part of Speech tagging; fastText; POS tagging
https://hdl.handle.net/20.500.12185/549
Neural sequence labelling
N/A
0.1
2.4 Gb
N/A
2022-01-26T13:13:33Z
2022-01-26T13:13:33Z
2022-01-10


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  • Resource Catalogue [349]
    A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture.

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