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Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning

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Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning


Veena S Nair | Amina Beevi A

https://doi.org/10.31142/ijtsrd23842



Veena S Nair | Amina Beevi A "Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.582-584, URL: https://www.ijtsrd.com/papers/ijtsrd23842.pdf

Natural Language Processing (NLP) is the one of the major filed of Natural Language Generation (NLG). NLG can generate natural language from a machine representation. Generating suggestions for a sentence especially for Indian languages is much difficult. One of the major reason is that it is morphologically rich and the format is just reverse of English language. By using deep learning approach with the help of Long Short Term Memory (LSTM) layers we can generate a possible set of solutions for erroneous part in a sentence. To effectively generate a bunch of sentences having equivalent meaning as the original sentence using Deep Learning (DL) approach is to train a model on this task, e.g. we need thousands of examples of inputs and outputs with which to train a model.

Natural Language Processing (NLP), Deep Learning (DL), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM)


IJTSRD23842
Volume-3 | Issue-4, June 2019
582-584
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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