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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMW500

AI Based Language Assistance and Web Simplification For EFL

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMW500

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AJE

Arok Joel E1

DL2

Dayanithi LV 2

HR

Harish R3

PU

Padmanaban U4

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Abstract

VocabEase is an AI-powered Chrome extension designed to assist English as a Foreign Language (EFL) learners by simplifying complex web content and enhancing vocabulary acquisition. When a user selects any word or paragraph on a webpage, the extension automatically captures the text and processes it through a backend built with Flask, which integrates custom-trained NLP models like T5 or BART, or uses services such as Amazon Bedrock. The system generates a concise summary, extracts key vocabulary, and provides definitions, synonyms, and antonyms to support contextual understanding. Additionally, VocabEase dynamically creates quizzes based on the summarized content and vocabulary, offering an engaging, interactive learning experience. The models are trained in Google Colab using datasets like CNN/DailyMail, XSum, and Simple Wikipedia. By combining real-time browser interaction, natural language processing, and generative AI, this project makes online content more accessible and helps users build language fluency while reading. VocabEase aims to transform passive reading into an active learning experience through intelligent automation.

KEYWORDS

EFL foreign language chrome extension vocabease.

Cite This Article

Arok Joel E1, Dayanithi LV 2, Harish R3, Padmanaban U4, "AI Based Language Assistance and Web Simplification For EFL," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

7/4/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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