Enhancing English Proficiency Through an Intelligent Personal Assistant

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Abstract This relative review investigates the coordination of artificial intelligence controlled advances in improving English language abilities, explicitly focusing on elocution and scholastic capability. It centers around the utilization of computer based intelligence driven devices like the Google Read So anyone might hear application, in mix with the Concentrated on Without holding back technique, to further develop jargon maintenance and elocution precision. The examination likewise explores the utilization of voice partners in refining scholastic English, featuring their true capacity for supporting language learning. The review exhibits the adequacy of Stowed away Markov Models (Gee) in man-made intelligence based discourse acknowledgment frameworks, which offer better outcomes in jargon maintenance thought about than conventional phonetic methodologies. This proposes that computer based intelligence driven advances have huge commitment for long haul language procurement. Besides, the use of Profound Brain Organizations (DNNs) is exhibited to upgrade both scholarly jargon and syntactic accuracy, helping students in conventional scholastic settings. Generally, the review highlights the worth of computer based intelligence in propelling elocution and scholastic language abilities, giving important experiences to language teachers and students the same.
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Enhancing English Proficiency Through an Intelligent Personal Assistant | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Enhancing English Proficiency Through an Intelligent Personal Assistant Meenakshi Garg, Anjali Gadakh, Jayalaxmi Mudaliar, Anupama Sharma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6005908/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This relative review investigates the coordination of artificial intelligence controlled advances in improving English language abilities, explicitly focusing on elocution and scholastic capability. It centers around the utilization of computer based intelligence driven devices like the Google Read So anyone might hear application, in mix with the Concentrated on Without holding back technique, to further develop jargon maintenance and elocution precision. The examination likewise explores the utilization of voice partners in refining scholastic English, featuring their true capacity for supporting language learning. The review exhibits the adequacy of Stowed away Markov Models (Gee) in man-made intelligence based discourse acknowledgment frameworks, which offer better outcomes in jargon maintenance thought about than conventional phonetic methodologies. This proposes that computer based intelligence driven advances have huge commitment for long haul language procurement. Besides, the use of Profound Brain Organizations (DNNs) is exhibited to upgrade both scholarly jargon and syntactic accuracy, helping students in conventional scholastic settings. Generally, the review highlights the worth of computer based intelligence in propelling elocution and scholastic language abilities, giving important experiences to language teachers and students the same. English elocution AI Google Perused Along Studied Out loud discourse acknowledgment dialect learning instructive innovation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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