A Query-Based SMS Translation in Information Access System
Ademola O. Adesina1, Kehinde K. Agbele2, Nureni A. Azeez3, Ademola P. Abidoye4
1Ademola O. Adesina, Department of Computer Science, University of the Western Cape, Private Bag X17, Bellville, South Africa.
2Agbele K. Kehinde, Department of Computer Science, University of the Western Cape, Private Bag X17, Bellville, South Africa.
3Azeez N. Ayofe, Department of Computer Science, University of the Western Cape, Private Bag X17, Bellville, South Africa.
4Ademola P. Abidoye, Department of Computer Science, University of the Western Cape, Private Bag X17, Bellville, South Africa.
Manuscript received on October 02, 2011. | Revised Manuscript received on October 14, 2011. | Manuscript published on November 05, 2011. | PP: 13-18 | Volume-1 Issue-5, November 2011. | Retrieval Number: D0124081411/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mobile technology has contributed to the evolution of several media of communication such as chats, emails and short message service (SMS) text. This has significantly influenced the traditional standard way of expressing views from letter writing to a high-tech form of expression known as texting language. In this paper we investigated building a mobile information access system based on SMS queries. The difficulties with SMS communication were explored in terms of the informal communication passage and the associated difficulty in searching and retrieving results from an SMS-based web search engine under its non-standardization. The query is a pre-defined phrase-based translated English version of the SMS. The SMS machine tool normalization algorithm (SCORE) was invented for the query to interface with the best ranked and highly optimized results in the search engine. Our results, when compared with a number of open sources SMS translators gave a better and robust performance of translation of the normalized SMS.
Keywords: Short messaging service (SMS), spell checker, spell corrector, spell error.