Suggestion Generation for Specific Erroneous Part in a Sentence using Deep Learning
Journal: International Journal of Trend in Scientific Research and Development (Vol.3, No. 4)Publication Date: 2019-05-01
Authors : Veena S Nair Amina Beevi A;
Page : 582-584
Keywords : Computer Engineering; Natural Language Processing (NLP); Deep Learning (DL); Recurrent Neural Network (RNN); Long Short Term Memory (LSTM);
Abstract
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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd23842.pdf
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Last modified: 2019-07-04 18:39:11