ENGLISH WORD FORMATION ON THE INTERNET

Nenad Blaženović, Sanel Hadžiahmetović Jurida, Emir Z. Muhić
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Abstract

This paper examines the processes of word-formation in English on the Internet. More specifically, the present paper provides an overview of newly formed words in the context of Internet communication, their categorisation, coupled with analysis and discussion with a view to determining which (if any) word formation processes have been employed in the process of their creation. The paper attempts to capture the current trends of the English language used in popular areas of Internet interactions. The theoretical preliminaries have been divided into two distinct parts - the first half which presents general notions related to internet communication while in the second one the theory behind word-formation processes is presented in order to enable its application to the corpus originating from Internet data used in this study. As for the corpus and methodology in the study, the selected terms and expressions were extracted from various online sources (forum posts, chat logs or game screenshots) and analysed in order to determine which word-formation process they belong to. Hence the sections on abbreviations and acronyms, clips, conversions, compounds and blends, as the most productive word formation processes observed in the study. The study also looks at the popular notions of blog and tweet, as well as a particular focus on leetspeak which deals with words falling into this category but are formed via many different processes. The final section of the paper provides a summary of the findings and a conclusion to the inquiry into the nature of word-formation on the internet.
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互联网上的英语构词法
本文研究了互联网上英语的组词过程。更具体地说,本文概述了在互联网交流背景下新形成的词语,对其进行了分类,并进行了分析和讨论,以确定在其形成过程中采用了哪些(如果有的话)组词过程。本文试图捕捉当前流行的互联网互动领域所使用的英语语言的发展趋势。理论铺垫分为两个不同的部分--前半部分介绍了与网络交流有关的一般概念,后半部分则介绍了词形成过程背后的理论,以便将其应用于本研究中使用的源自互联网数据的语料库。至于本研究的语料和方法,所选术语和表达方式是从各种在线资源(论坛帖子、聊天记录或游戏截图)中提取并分析的,目的是确定它们属于哪种构词过程。因此,缩写和首字母缩略词、片段、转换、复合和混合等部分是研究中观察到的最有效的构词过程。本研究还探讨了流行的 blog 和 tweet 概念,并特别关注了 leetspeak,它涉及属于这一类别但通过许多不同过程形成的词语。本文最后一部分对研究结果进行了总结,并对互联网造词性质的研究做出了结论。
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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