CTexT Afrikaans FLAIR Part of Speech tagger model

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dc.contact.email	Roald.Eiselen@nwu.ac.za	en_ZA
dc.contact.name	Roald Eiselen	en_ZA
dc.contributor.author	Eiselen, Roald
dc.contributor.other	Eiselen, Roald
dc.date.accessioned	2022-01-26T13:13:33Z
dc.date.available	2022-01-26T13:13:33Z
dc.date.issued	2022-01-10
dc.description	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.	en_ZA
dc.format	Pickle	en_ZA
dc.format.extent	N/A	en_ZA
dc.format.medium	N/A	en_ZA
dc.format.size	2.4 Gb	en_ZA
dc.identifier.uri	https://hdl.handle.net/20.500.12185/549
dc.languages	Afrikaans	en_ZA
dc.media.category	Neural sequence labelling	en_ZA
dc.publisher	Centre for Text Technology (CTexT)	en_ZA
dc.rights.license	Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0): https://creativecommons.org/licenses/by-nc/4.0/	en_ZA
dc.subject	FLAIR	en_ZA
dc.subject	GloVe	en_ZA
dc.subject	Neural sequence labelling	en_ZA
dc.subject	Part of Speech tagging	en_ZA
dc.subject	fastText	en_ZA
dc.subject	POS tagging	en_ZA
dc.title	CTexT Afrikaans FLAIR Part of Speech tagger model	en_ZA
dc.version	0.1	en_ZA
local.url	https://humanities.nwu.ac.za/ctext	en_ZA

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Name:: AF-PoS-FLAIR.zip
Size:: 2.11 GB
Format:: ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.
Description:: Afrikaans FLAIR Part of Speech tagging model

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