The Impact of ChatGPT on Language Evolution: A Linguistic Analysis

Hina Rafique, Imran Nazeer, Jawaria Rehman
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Abstract

This research sought to identify changes in terms of word choice, sentence structure, and semantics introduced by ChatGPT and how the functionality of ChatGPT impacts the pragmatics of the English language: politeness, deixis, and discourse markers. This study used corpus analysis as part of the methodology involving Natural Language Processing (NLP) tools for part-of-speech tagging and sentiments, analyzing changes in wordings, syntaxes, and semantic elements generated by ChatGPT as an advanced language modal. A qualitative approach, including user surveys and comparative analysis, proved useful in clarifying the changing patterns of politeness, deixis, and discourse markers in AI-supported communication. Henceforth, ChatGPT generates neologism, unique cultural references, verbal contextual adaptations, and a wide range of technical terms. Moreover, the researchers found that user preferences for communication mediums vary, which showed a complex field of users and their expectations in the context of language generated by ChatGPT. Thus, it was observed that ChatGPT contributes significantly to developing the pragmatic aspects of language use in the modern era. Hence, the study proposes that the ChatGPT polishes the usage of politeness terms and improves its deixis along with formal discourse markers. This highlights the need for continuous improvement, especially in areas such as politeness, deixis management, and integration of discourse markers for the developers.
ChatGPT 对语言进化的影响:语言学分析
本研究旨在确定 ChatGPT 在选词、句子结构和语义方面带来的变化,以及 ChatGPT 的功能如何影响英语语言的语用学:礼貌、词性和话语标记。本研究使用语料库分析作为方法论的一部分,其中包括用于语音部分标记和情感的自然语言处理(NLP)工具,分析 ChatGPT 作为高级语言模态所产生的措辞、句法和语义元素的变化。事实证明,定性方法(包括用户调查和比较分析)有助于澄清人工智能支持的交流中礼貌、词性和话语标记的变化模式。从那以后,ChatGPT 生成了新词、独特的文化指代、言语语境适应和各种专业术语。此外,研究人员还发现,用户对交流媒介的偏好各不相同,这表明用户及其对 ChatGPT 生成的语言的期望是一个复杂的领域。因此,研究发现 ChatGPT 在现代语言使用的实用性方面做出了巨大贡献。因此,研究建议 ChatGPT 改进礼貌用语的使用,并改进其词缀和正式话语标记。这凸显了开发人员不断改进的必要性,尤其是在礼貌用语、去声管理和整合话语标记等方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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