THE INFLUENCE OF TECHNOLOGY ON SPOKEN LANGUAGE: TEXTING, VOICE ASSISTANTS, AND SPEECH PATTERNS

dc.contributor.authorMamatkulova Shoxista Djalolovna
dc.date.accessioned2025-12-29T18:16:44Z
dc.date.issued2025-01-14
dc.description.abstractThis article explores the profound impact of technology on spoken language, specifically examining how texting, voice assistants, and emerging speech patterns are shaping modern communication. With the rise of smartphones, social media, and AI-driven technologies, the way people interact verbally has undergone significant changes. Texting, while often regarded as a written form of communication, has influenced spoken language through shorthand, acronyms, and the speed of communication. Voice assistants like Siri, Alexa, and Google Assistant have altered how people express themselves, leading to the emergence of more structured and direct speech patterns. Additionally, advancements in speech recognition technology are fostering new linguistic norms, affecting pronunciation, vocabulary, and conversational tone. This article analyzes these technological shifts, investigating their impact on the fluidity, efficiency, and evolution of spoken language in contemporary society.
dc.formatapplication/pdf
dc.identifier.urihttps://webofjournals.com/index.php/4/article/view/2861
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/25394
dc.language.isoeng
dc.publisherWeb of Journals Publishing
dc.relationhttps://webofjournals.com/index.php/4/article/view/2861/2823
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWeb of Technology: Multidimensional Research Journal; Vol. 3 No. 1 (2024): WOT; 34-38
dc.source2938-3757
dc.subjectTechnology, spoken language, texting, voice assistants, speech patterns, communication, linguistic evolution, speech recognition, artificial intelligence, digital communication.
dc.titleTHE INFLUENCE OF TECHNOLOGY ON SPOKEN LANGUAGE: TEXTING, VOICE ASSISTANTS, AND SPEECH PATTERNS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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