Abstract
Autism can make communicating and associating with others difficult for a child. Autistic child tends to live in their own world which they do not socialize with others. Therefore, they are experiencing verbal issues. Autism is a neuro-developmental conditions which makes them behave repetitive tasks. A Recurrent Neural Network (RNN) was used in this project to predict next possible word until it becomes a sentence. Furthermore, N-gram also used for grammar checking for a simple sentence. The prediction words are displayed based on the frequency of the word chosen. This application results a valid sentence generated or chosen by autistic child to ease them communicating with others. Moreover, it helps caretaker or parents to teach them on how to express verbally after this. Thus, this application might be used for autistic children to help them express verbally.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Mohd Affendy, Nur Farahin 2017196607 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Shari, Anis Amilah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Communication of computer science information Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming |
Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |
Keywords: | Verbal helper application; Autism; Autistic children |
Date: | 2020 |
URI: | https://ir.uitm.edu.my/id/eprint/31598 |
Download
31598.pdf
Download (233kB)