A Systematic Literature Review on Text Generation using Deep Neural Networks

Author(s)	Rutuja Santosh Thube, Gauri Sanjay Patil, Dr. Harshali Patil, Dr. Jyotshna Dongradive
Country	India
Abstract	Text generation using deep neural networks has become an exciting area of research. Deep neural networks, such as recurrent neural networks (RNNs) and transformers, have shown remarkable capabilities in generating coherent and contextually relevant text. By training these models on large text corpora, they learn to capture the underlying patterns and structures of the language. This enables them to generate new text that resembles the style and content of the training data. Text generation using deep neural networks has a wide range of applications, including chatbots, language translation, poetry generation, and even code generation.
Keywords	Deep Learning, Natural Language Processing, Text Generation, Recurrent Neural Network, Deep Neural Network Models.
Field	Computer
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-01-13
Cite This	A Systematic Literature Review on Text Generation using Deep Neural Networks - Rutuja Santosh Thube, Gauri Sanjay Patil, Dr. Harshali Patil, Dr. Jyotshna Dongradive - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11921
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.11921
Short DOI	https://doi.org/gtdr4n

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