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Volume & Issue no: Volume 3, Issue 4, July - August 2014

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Title:
A review on SMS Text Normalization using Statistical Machine translation Approach
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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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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