Show simple item record

NCHLT Siswati FLAIR-backward embeddings
Contextual word/string embeddings for the backward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector representations for Siswati text.
Roald Eiselen
Roald.Eiselen@nwu.ac.za
North-West University; Centre for Text Technology (CTexT)
Creative Commons Attribution 4.0 International (CC-BY 4.0)
Siswati
Roald Eiselen
Rico Koen; Albertus Kruger; Jacques van Heerden
https://hdl.handle.net/20.500.12185/584
Text
Modules
String embeddings
Training data: Paragraphs: 299,112; Token count: 4,436,576; Vocab size: N/A; Embedding dimensions: 2,048;
181.96MB (Zipped)
NCHLT Text IV
Python
Web; Government Documents
ss
2023-07-26T15:50:17Z; 2023-05-01
2023-07-26T15:50:17Z; 2023-05-01
2023-05-01


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Resource Catalogue [335]
    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.

Show simple item record