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.
We investigated appropriate ontologies and optimal supervised and unsupervised machine learning methods for the development of genre classifiers, specifically for resource-scarce languages.
Sharma Grover, Aditi, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2011. “The South African human language technology audit.” Language Resources and Evaluation.
Sharma Grover, Aditi, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2011. “A technology audit: Human language technologies (HLT) R&D in South Africa.” Proceedings of
Sharma Grover, Aditi, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2011. “The South African human language technology audit: Supplemental online material.” Language Resources and
Snyman, Dirk P., Gerhard B. Van Huyssteen, and Walter Daelemans. 2011. “Automatic genre classification for resource scarce languages.” Proceedings of the 2011 Conference of the
Barnard, Etienne, Marlie H. Davel, and Gerhard B. Van Huyssteen. 2010. “Speech technology for information access: A South African case study.” AAAI Spring Symposium –
Sharma Grover, Aditi, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2010. “An HLT profile of the official South African languages.” 2nd Workshop on African
Sharma Grover, Aditi, Karen Calteaux, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2010. “An overview of HLTs for South African Bantu languages 978-1-60558-950-3.” Proceedings
Sharma Grover, Aditi, Gerhard B. Van Huyssteen, and M. W. Pretorius. 2010. “The South African human language technologies audit.” Proceeding of the 7th Language Resource
Sharma Grover, Aditi, Gerhard B. van Huyssteen, and Marthinus W. Pretorius. 2010. “An HLT profile of the official South African languages.” The National HLT network