TY - GEN
T1 - Towards a bilingual SMS parser for HIV and AIDS information retrieval in Botswana
AU - Anderson, G.
AU - Asare, S. D.
AU - Ayalew, Y.
AU - Garg, D.
AU - Gopolang, B.
AU - Masizana-Katongo, A.
AU - Mogotlhwane, O.
AU - Mpoeleng, D.
AU - Nyongesa, H. O.
PY - 2007
Y1 - 2007
N2 - Integrated Health Information System through Mobile Telephony (IHISM) is a project carried out by Computer Science department at the University of Botswana. The main objective of the research project is to develop an integrated health care information service which will provide access to a variety of HIV AND AIDS related information for different users. The aim of this paper is to analyze the use of SMSs as an information access technology in a multilingual environment such as Botswana. The main focus is the analysis of the users' language in constructing SMSs to retrieve information from the IHISM information service. The results acquired in this work give a good lead towards designing the most appropriate bilingual natural language parser. The analysis, carried out on a sample of 1,600 SMS queries (800 English, 800 Setswana), would support the way parsing techniques could best hypothesize as accurately as possible the SMS question being asked.
AB - Integrated Health Information System through Mobile Telephony (IHISM) is a project carried out by Computer Science department at the University of Botswana. The main objective of the research project is to develop an integrated health care information service which will provide access to a variety of HIV AND AIDS related information for different users. The aim of this paper is to analyze the use of SMSs as an information access technology in a multilingual environment such as Botswana. The main focus is the analysis of the users' language in constructing SMSs to retrieve information from the IHISM information service. The results acquired in this work give a good lead towards designing the most appropriate bilingual natural language parser. The analysis, carried out on a sample of 1,600 SMS queries (800 English, 800 Setswana), would support the way parsing techniques could best hypothesize as accurately as possible the SMS question being asked.
UR - http://www.scopus.com/inward/record.url?scp=67650567909&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650567909&partnerID=8YFLogxK
U2 - 10.1109/ICTD.2007.4937420
DO - 10.1109/ICTD.2007.4937420
M3 - Conference contribution
AN - SCOPUS:67650567909
SN - 9781424419906
T3 - 2007 International Conference on Information and Communication Technologies and Development, ICTD 2007
SP - 329
EP - 333
BT - 2007 International Conference on Information and Communication Technologies and Development, ICTD 2007
T2 - 2007 International Conference on Information and Communication Technologies and Development, ICTD 2007
Y2 - 15 December 2007 through 16 December 2007
ER -
