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<s>the current input and w is the weight, multiplied with the previous output [19]. Figure 2 shows the structure of training the models with GRU based RNN. --------- (2) Figure 2: Architecture of training the models with GRU based RNNBut RNN also has a problem remembering the effect of the earlier layers in a long sequ... |
<s>two then the inputted words should be sent to trained bi-gram model as it takes two input words and predicts an output word. Likewise, for the rest of the trained models. Figure 4 represents the word prediction process for different length input using 5 trained models. There is an exception if the length of the inpu... |
<s>for higher-order sequences. Figure 7 shows the comparison among the different approaches used in paper [1], paper [2] and this study. Figure 7: Comparison Chart of Average Accuracy V. CONCLUSION To predict the next most appropriate and suitable Bangla word (one or more) and sentence, GRU based RNN has shown a signif... |
<s>of Innovative Technology and Exploring Engineering. 8. 870-873. [11] Al-Mubaid, Hisham. (2007). A Learning-Classification Based Approach for Word Prediction. Int. Arab J. Inf. Technol. 4. 264-271. [12] Palazuelos-Cagigas, Sira & Martín, José & Macias-Guarasa, Javier & García-García, J.C. & Cavalieri, Daniel & Bastos... |
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