ICT4H 2015 F De Wet
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This document discusses using information and communication technologies (ICT) to support multi-lingual clinical communication in South Africa. It proposes developing a mobile application that incorporates human language technologies like text-to-speech, automatic speech recognition, and text processing to provide clinical terminology course content in multiple South African languages. A previous study tested a similar app without these technologies to understand user preferences and the potential impact on vocabulary learning. Future work plans to conduct a user study of the full technology-enabled app, expand to additional languages, content areas, universities and application domains.
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ICT4H 2015 F De Wet
- 1. 1 ICT in support of multi-lingual clinical communication Febe de Wet & Ilana Wilken Human Language Technology Meraka Institute
- 2. 2 ICT • Human Language Technology – Text Technology – Speech Technology
- 4. 4 HLT4Sp2Sp
- 8. 8 Clinical communication in South Africa
- 9. 9 Clinical communication in South Africa
- 10. 10 Responding to the challenge • Language courses at South African Universities • Projects – Stellenbosch University (Xhosa) – Faculty of Medicine and Health Sciences – University of Pretoria (Northern Sotho) – Department of African Languages – Faculty of Health Sciences
- 11. 11 Aim: HLT-enabled MALL • Mobile app • Course content • Silent (Text only) • Listen (TTS) • Speak (ASR) © CSIR 2015
- 13. 13 System overview © CSIR 2015
- 14. 14 Challenges • Ethical clearance • Software development & maintenance • Teacher support • Student availability & participation
- 15. 15 User study • Similar app, no HLT • Focus: – vocabulary – user preference • Silent • Listen • Speak © CSIR 2015
- 16. 16 Future work • User study with HLT-enabled app • More languages • More content • More universities • More domains • More applications
- 17. 17 Thank you Febe de Wet (fdwet@csir.co.za)