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STEK: A Supporting Tool to Enhance the English Knowledge

by S.I.C. Dias, D. Vithanage, L.A.P.A. Weerasinghe, A.P.D. Ranaweera, D.I.De Silva
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 36
Year of Publication: 2022
Authors: S.I.C. Dias, D. Vithanage, L.A.P.A. Weerasinghe, A.P.D. Ranaweera, D.I.De Silva
10.5120/ijca2022922461

S.I.C. Dias, D. Vithanage, L.A.P.A. Weerasinghe, A.P.D. Ranaweera, D.I.De Silva . STEK: A Supporting Tool to Enhance the English Knowledge. International Journal of Computer Applications. 184, 36 ( Nov 2022), 32-38. DOI=10.5120/ijca2022922461

@article{ 10.5120/ijca2022922461,
author = { S.I.C. Dias, D. Vithanage, L.A.P.A. Weerasinghe, A.P.D. Ranaweera, D.I.De Silva },
title = { STEK: A Supporting Tool to Enhance the English Knowledge },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2022 },
volume = { 184 },
number = { 36 },
month = { Nov },
year = { 2022 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number36/32551-2022922461/ },
doi = { 10.5120/ijca2022922461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:23:19.768264+05:30
%A S.I.C. Dias
%A D. Vithanage
%A L.A.P.A. Weerasinghe
%A A.P.D. Ranaweera
%A D.I.De Silva
%T STEK: A Supporting Tool to Enhance the English Knowledge
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 36
%P 32-38
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

English is not just the second most widely spoken language in the world. It is also the language most commonly used to communicate with native English speakers. Sri Lanka is ranked eighty-second on the English Competence Index and has a low level of English proficiency. People who live in rural places in Sri Lanka do not receive the proper education or materials to learn English. There is a near-ubiquity of web-connected devices among language learners in the twenty-first century, and the significant success of mass-market web-based language learning software demonstrates a great need for such resources. After establishing the global demand for web-based digital English learning tools, this article addresses the platforms and programming languages that English educators might employ to construct new online learning activities, particularly for rural locations. STEK, a supporting tool to enhance English knowledge, is the recommended solution. It is built on a web application by employing a combination of machine learning and deep learning approaches. It consists off our components: sample essay generator, pronunciation checker, citation checker, and tense modifier.

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Index Terms

Computer Science
Information Sciences

Keywords

Machine learning deep learning essay generator pronunciation checker citation checker tense modifier

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