… would like to make a model to predict the next word using LSTM. LSTM which stands for
Long Short Term Memory is a variant of the recurrent neural network (RNN) architecture[6]. The …

Language Modeling is defined as the operation of predicting next word. It is considered as
one of the basic tasks of Natural Language Processing(NLP) and Language Modeling has …

… This work towards next word prediction in phonetically transcripted Assamese language using
LSTM is … We compared the accuracy of our RNN model between Assamese language and …

… A model has been proposed in this paper to predict the next word in Hindi, given a
sequence of at least six words using LSTM and Bi-LSTM Neural Networks. For both the …

… The prediction is done using the dataset that we used and if we need to improve the next
word predicted then we need to train with big, better, and realistic text data. In this proposal, a …

… RNN), using this machine learning technique we have made a model to predict the next word
… input anything, the model will predict the next word according to the previous word(s). This …

… following subsections, we first introduce a basic LSTM prediction model for our future subevent
prediction task and then present our proposed CH-LSTM model. It captures the two-level …

… the next word. Therefore, this work is aimed at analysing the existing methods of the next-word
prediction … sequential models: LSTM and Markov model in Ukrainian next-word prediction. …

… In coming times, we will try to collect a large dataset to get better performance on GRU based
RNN for Bangla next word and sentence prediction. Furthermore, this study will help as a …

… (2021) predicted the next Dzongkha syllables using LSTM. The single-layer LSTM model with
… This study aims to propose the next word prediction in Dzongkha using Bi-LSTM which is …