A simple method for sentences generation based on deep learning
Abstract
Long short-term memory (LSTM) units on sequence-based models are being used in translation, question-answering systems, and classification tasks due to their capability of learning long-term dependencies. Currently, LSTM networks are providing impressive results on text generation models by learning language models with grammatically stable syntaxes. In this paper, I would like to present a simple method to generate text using LSTM networks. Experimental results showed that the LSTM method is suitable for text generation with low loss in the training/testing processes.
How to Cite This Article
Giao N Pham (2021). A simple method for sentences generation based on deep learning. International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(5), 208-211.