Next Word Prediction in Hindi Using Deep Learning Techniques
Radhika Sharma, Nishtha Goel, Nishita Aggarwal, Prajyot Kaur, Chandra Prakash · 2019
Natural Language Generation (NLG) focuses on the generation of natural, human-interpretable language. This study proposes a novel methodology to predict the next word in a Hindi sentence. By predicting the next word in a sequence, the number of keystrokes of the user can be reduced. Two deep learning techniques namely Long Short Term Memory (LSTM) and Bi-LSTM have been explored for the task of predicting next word and accuracy of 59.46% and 81.07% was observed for LSTM and Bi-LSTM respectively. This approach may be used for various NLG tasks like story auto-completion, sentence autocompletion, etc.