Entry Sharma:2014:WPS from talip.bib
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BibTeX entry
@Article{Sharma:2014:WPS,
author = "Manoj Kumar Sharma and Debasis Samanta",
title = "Word Prediction System for Text Entry in {Hindi}",
journal = j-TALIP,
volume = "13",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2617590",
ISSN = "1530-0226 (print), 1558-3430 (electronic)",
ISSN-L = "1530-0226",
bibdate = "Fri Jun 20 18:22:19 MDT 2014",
bibsource = "http://portal.acm.org/;
http://www.math.utah.edu/pub/tex/bib/spell.bib;
http://www.math.utah.edu/pub/tex/bib/talip.bib",
abstract = "Word prediction is treated as an efficient technique
to enhance text entry rate. Existing word prediction
systems predict a word when a user correctly enters the
initial few characters of the word. In fact, a word
prediction system fails if the user makes errors in the
initial input. Therefore, there is a need to develop a
word prediction system that predicts desired words
while coping with errors in initial entries. This
requirement is more relevant in the case of text entry
in Indian languages, which are involved with a large
set of alphabets, words with complex characters and
inflections, phonetically similar sets of characters,
etc. In fact, text composition in Indian languages
involves frequent spelling errors, which presents a
challenge to develop an efficient word prediction
system. In this article, we address this problem and
propose a novel word prediction system. Our proposed
approach has been tried with Hindi, the national
language of India. Experiments with users substantiate
43.77\% keystroke savings, 92.49\% hit rate, and
95.82\% of prediction utilization with the proposed
word prediction system. Our system also reduces the
spelling error by 89.75\%.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Asian Language Information
Processing",
journal-URL = "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}
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