| dc.description.abstract | Ever since the birth of humankind, stories have
been used as a means of sharing information and
educating people. Stories are more than just a form of
entertainment; they impart lessons that often help
children to develop the skills they need to thrive in life.
Research and development teams have unquestionably
mastered the practicalities of producing human-like
creative text tales, which has been a significant barrier in
natural language processing in recent years. A system
based on artificial intelligence that generates children’s
stories can serve as a resource for parents and children
to connect with. The ability to generate natural
language stories that people can understand, remember,
and enjoy is difficult to achieve with current technology. A
new model based on transformers is introduced in this
paper. This new approach for generating stories for
children based on the GPT-2 model with the help of a web
application. The GPT-2 is a model based on neural network
that is designed to imitate the human behaviour of
producing creative and coherent text. It can generate
stories in different genres and starting captions. The web
application takes advantage of the GPT-2 model’s ability to
generate fluent texts, including proper punctuations,
complex syntaxes, and grammar rules. The solution allows
users to generate creative stories from different genres
with starting captions. Especially, using the proof-ofconcept
to support the narration given in Sinhala
language, one of the native languages in Sri Lanka. | en_US |
