A one-mode-for-all predictor for text messaging

This paper discusses the enhancements made on the current mobile phone messaging software, namely the predictive text entry. In addition, the application also has a facility to abbreviate any unabbreviated words that exist in the dictionary, so that the message length can be reduced. The application...

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Main Author: Vimala Balakrishnan
Format: Article
Language:English
Published: Maejo University 2011-08-01
Series:Maejo International Journal of Science and Technology
Subjects:
Online Access:http://www.mijst.mju.ac.th/vol5/266-278.pdf
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spelling doaj-6bbf8fb2ee11417495b93813dc95bf062020-11-24T23:43:36ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78732011-08-01502266278A one-mode-for-all predictor for text messagingVimala BalakrishnanThis paper discusses the enhancements made on the current mobile phone messaging software, namely the predictive text entry. In addition, the application also has a facility to abbreviate any unabbreviated words that exist in the dictionary, so that the message length can be reduced. The application was tested in a computer-simulated mobile environment and the results of the tests are presented here. These additional features will potentially enable users to send messages at a reduced length and thus reduce the cost of sending messages. Moreover, users who are not adept in using the abbreviations can now do so with features made available on their mobile phones. It is believed that these additional features will also encourage more users to use the predictive software as well as further improve users’ messaging satisfaction.http://www.mijst.mju.ac.th/vol5/266-278.pdftext messagingpredictive text entryabbreviatormobile phones
collection DOAJ
language English
format Article
sources DOAJ
author Vimala Balakrishnan
spellingShingle Vimala Balakrishnan
A one-mode-for-all predictor for text messaging
Maejo International Journal of Science and Technology
text messaging
predictive text entry
abbreviator
mobile phones
author_facet Vimala Balakrishnan
author_sort Vimala Balakrishnan
title A one-mode-for-all predictor for text messaging
title_short A one-mode-for-all predictor for text messaging
title_full A one-mode-for-all predictor for text messaging
title_fullStr A one-mode-for-all predictor for text messaging
title_full_unstemmed A one-mode-for-all predictor for text messaging
title_sort one-mode-for-all predictor for text messaging
publisher Maejo University
series Maejo International Journal of Science and Technology
issn 1905-7873
publishDate 2011-08-01
description This paper discusses the enhancements made on the current mobile phone messaging software, namely the predictive text entry. In addition, the application also has a facility to abbreviate any unabbreviated words that exist in the dictionary, so that the message length can be reduced. The application was tested in a computer-simulated mobile environment and the results of the tests are presented here. These additional features will potentially enable users to send messages at a reduced length and thus reduce the cost of sending messages. Moreover, users who are not adept in using the abbreviations can now do so with features made available on their mobile phones. It is believed that these additional features will also encourage more users to use the predictive software as well as further improve users’ messaging satisfaction.
topic text messaging
predictive text entry
abbreviator
mobile phones
url http://www.mijst.mju.ac.th/vol5/266-278.pdf
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