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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

Abstract

In online communication, most of the time plain English characters are transmitted, while a few are encrypted. Thus there is a need for an automatic recognizer of plain English text (based on the characteristics of the English Language) without using a dictionary. It works for continuous text without word break-up (text without blank spaces between words). We propose a very efficient artificial neural network-based technique by selecting relevant or important features using Joint Mutual Information for online recognition of English plain text which can recognize English text from English like or random data.

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References

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Correspondence to Aditi Bhateja .

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© 2014 Springer India

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Bhateja, A., Bhateja, A., Din, M. (2014). Online Identification of English Plain Text Using Artificial Neural Network. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_102

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_102

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

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