Personal AI-powered conversation and grammar-checking chatbot

For many individuals who are learning the English language, it can be challenging to find a suitable practice partner, which can significantly hinder their progress. Additionally, research has shown that even if language learners are able to find someone with a comparable language proficiency lev...

Full description

Saved in:
Bibliographic Details
Main Author: Su, Yi Wen
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
Online Access:http://eprints.utar.edu.my/6021/1/fyp_IB_2023_SYW.pdf
http://eprints.utar.edu.my/6021/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tunku Abdul Rahman
id my-utar-eprints.6021
record_format eprints
spelling my-utar-eprints.60212024-01-02T16:18:35Z Personal AI-powered conversation and grammar-checking chatbot Su, Yi Wen PE English T Technology (General) For many individuals who are learning the English language, it can be challenging to find a suitable practice partner, which can significantly hinder their progress. Additionally, research has shown that even if language learners are able to find someone with a comparable language proficiency level to practice with, it may not necessarily result in effective learning as they may be unable to identify and correct each other's errors. To address these issues, this project involves the creation of a Personal AI-Powered Conversation and Grammar-Checking Chatbot that provides English language learners with an opportunity to engage in conversations with a chatbot and improve their grammar skills with the assistance of a grammar checker and a paraphrased function Additionally, a report that visualizes users' activities while using this project and their learning progress will be generated for their benefit. 2023-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6021/1/fyp_IB_2023_SYW.pdf Su, Yi Wen (2023) Personal AI-powered conversation and grammar-checking chatbot. Final Year Project, UTAR. http://eprints.utar.edu.my/6021/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic PE English
T Technology (General)
spellingShingle PE English
T Technology (General)
Su, Yi Wen
Personal AI-powered conversation and grammar-checking chatbot
description For many individuals who are learning the English language, it can be challenging to find a suitable practice partner, which can significantly hinder their progress. Additionally, research has shown that even if language learners are able to find someone with a comparable language proficiency level to practice with, it may not necessarily result in effective learning as they may be unable to identify and correct each other's errors. To address these issues, this project involves the creation of a Personal AI-Powered Conversation and Grammar-Checking Chatbot that provides English language learners with an opportunity to engage in conversations with a chatbot and improve their grammar skills with the assistance of a grammar checker and a paraphrased function Additionally, a report that visualizes users' activities while using this project and their learning progress will be generated for their benefit.
format Final Year Project / Dissertation / Thesis
author Su, Yi Wen
author_facet Su, Yi Wen
author_sort Su, Yi Wen
title Personal AI-powered conversation and grammar-checking chatbot
title_short Personal AI-powered conversation and grammar-checking chatbot
title_full Personal AI-powered conversation and grammar-checking chatbot
title_fullStr Personal AI-powered conversation and grammar-checking chatbot
title_full_unstemmed Personal AI-powered conversation and grammar-checking chatbot
title_sort personal ai-powered conversation and grammar-checking chatbot
publishDate 2023
url http://eprints.utar.edu.my/6021/1/fyp_IB_2023_SYW.pdf
http://eprints.utar.edu.my/6021/
_version_ 1787140950177349632