International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
A review on SMS Text Normalization using Statistical Machine translation Approach
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Author Name: |
Sakshi Goyal, Er. Charandeep Singh Bedi |
Abstract: |
Abstract
Messages often greatly deviate from traditional spelling
conventions. Text normalization is a task of generating plain
text from an un normalized text. 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 present a review on various
techniques used to translate un-normalized text into its
equivalent plain text.
Keywords: Text normalization, Direct Mapping,
Statistical Machine Translation Approach. |
Cite this article: |
Sakshi Goyal, Er. Charandeep Singh Bedi , "
A review on SMS Text Normalization using Statistical Machine translation Approach " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 3, Issue 4, July - August 2014 , pp.
288-290 , ISSN 2278-6856.
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