Genre Classification
We investigated appropriate ontologies and optimal supervised and unsupervised machine learning methods for the development of genre classifiers, specifically for resource-scarce languages.
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Snyman, Van Huyssteen & Daelemans 2014
Snyman, Dirk P., Gerhard B. Van Huyssteen, and Walter Daelemans. 2014. “Outomatiese genreklassifikasie vir Afrikaans [Automatic genre classification for Afrikaans].”
Snyman, Van Huyssteen & Daelemans 2012
Snyman, Dirk, Gerhard B. Van Huyssteen, and Walter Daelemans. 2012. “Cross-lingual genre classification for closely related languages.” Proceedings of the Twenty-Third Annual Symposium of the Pattern Recognition Association of South Africa, Pretoria, South Africa.
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Afrikaans
BLaRK
closely-related languages
cognitive grammar
cognitive linguistics
compound
compound splitting
construction grammar
Dutch
English
genre classification
human language technology
human language technology audit
hyphenation
language audit
language resource infrastructure
language resource management
language resources
lemmatization
machine learning
machine translation
morphological analysis
morphology
orthography
recycling
resource-scarce languages
semantic analysis
semantics
South Africa
spelling checker
technology audit
terminology