Computer assisted language learning

As technology advances, computer is becoming more adept in assisting language learning especially in the pronunciation department. The best way to pick up a new language is to listen to native speaker as often as possible and to practice speaking it. With the help of today’s technology, this method...

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Main Author: Ong, Toon Pang.
Other Authors: Chng Eng Siong
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48756
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-487562023-03-03T20:50:26Z Computer assisted language learning Ong, Toon Pang. Chng Eng Siong School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems As technology advances, computer is becoming more adept in assisting language learning especially in the pronunciation department. The best way to pick up a new language is to listen to native speaker as often as possible and to practice speaking it. With the help of today’s technology, this method can be incorporated into a Computer Assisted Language Learning (CALL) software and allow students to practice anywhere and everywhere whenever they are free to do so. Even though there already exists much software that is able to do that, very little of them are localized to Singapore special accent due to her multi-lingual environment. Hence, the objective of this project is to develop a demo software, with a scoring engine that is customized to Singapore accent and a user friendly interface. This report will focus on the implementation of the scoring engine and the Graphical User Interface (GUI) respectively as well as the evaluation of the software. The scoring engine will be scoring on the pronunciation, timing, pitch and loudness on syllable as well as word level while the GUI will be focusing on the different functionality of the application and the overall user-friendliness. Bachelor of Engineering (Computer Engineering) 2012-05-09T02:57:03Z 2012-05-09T02:57:03Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48756 en Nanyang Technological University 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Computers in other systems
Ong, Toon Pang.
Computer assisted language learning
description As technology advances, computer is becoming more adept in assisting language learning especially in the pronunciation department. The best way to pick up a new language is to listen to native speaker as often as possible and to practice speaking it. With the help of today’s technology, this method can be incorporated into a Computer Assisted Language Learning (CALL) software and allow students to practice anywhere and everywhere whenever they are free to do so. Even though there already exists much software that is able to do that, very little of them are localized to Singapore special accent due to her multi-lingual environment. Hence, the objective of this project is to develop a demo software, with a scoring engine that is customized to Singapore accent and a user friendly interface. This report will focus on the implementation of the scoring engine and the Graphical User Interface (GUI) respectively as well as the evaluation of the software. The scoring engine will be scoring on the pronunciation, timing, pitch and loudness on syllable as well as word level while the GUI will be focusing on the different functionality of the application and the overall user-friendliness.
author2 Chng Eng Siong
author_facet Chng Eng Siong
Ong, Toon Pang.
format Final Year Project
author Ong, Toon Pang.
author_sort Ong, Toon Pang.
title Computer assisted language learning
title_short Computer assisted language learning
title_full Computer assisted language learning
title_fullStr Computer assisted language learning
title_full_unstemmed Computer assisted language learning
title_sort computer assisted language learning
publishDate 2012
url http://hdl.handle.net/10356/48756
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