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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5154

Title: South African human language technology audit
Authors: Grover, AS
Van Huyssteen, GB
Pretorius, MW
Keywords: Technology audit
Human language technology
Language resources
BLaRK
Language audit
Language resource infrastructure
Resource-scarce languages
Issue Date: Jun-2011
Publisher: Springer Publisher
Citation: Grover, AS, Van Huyssteen, GB, and Pretorius, MW. 2011. South African human language technology audit. Language Resources and Evaluation, Vol. 45, pp. 271-288
Series/Report no.: Workflow;7040
Abstract: Human language technology (HLT) has been identified as a priority area by the South African government. However, despite efforts by government and the research and development (R&D) community, South Africa has not yet been able to maximise the opportunities of HLT and create a thriving HLT industry. One of the key challenges is the fact that there is insufficient codified knowledge about the current South African HLT components, their attributes and existing relationships. Hence a technology audit was conducted for the South African HLT landscape, to create a systematic and detailed inventory of the status of the HLT components across the eleven official languages. Based on the Basic Language Resource Kit (BLaRK) framework (Krauwer, 1998), we used various data collection methods (such as focus groups, questionnaires and personal consultations with HLT experts) to gather detailed information. The South African HLT landscape is analysed using a number of complementary approaches and based on the interpretations of the results, recommendations are made on how to accelerate HLT development in South Africa, as well as on how to conduct similar audits in other countries and contexts.
Description: Copyright: 2011 Springer. This is a pre print version of the work. The definitive version is published in Language Resources and Evaluation, Vol. 45, pp. 271-288
URI: http://www.meraka.org.za/pubs/Sharma10technologies.pdf
http://hdl.handle.net/10204/5154
ISSN: 1574-020X
Appears in Collections:Human language technologies
General science, engineering & technology

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