Nerdalicious scientainment: A network analysis of English libfixes

IF 0.7 0 LANGUAGE & LINGUISTICS
M. Norde, Sarah Sippach
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引用次数: 12

Abstract

Libfixes are parts of words that share properties with both blends, compounds and affixes. They are deliberate formations, often with a jocular character, e.g. nerdalicious ‘delicious for nerds’, or scientainment ‘scientific entertainment’. These are not one-off formations – some libfixes have become very productive, as evidenced by high type frequency in a single corpus. Libfix constructions are particularly interesting for a network analysis for three reasons: they do not always have discrete morpheme boundaries, they feature a wide variety of bases (including phrases, as in give-me-a-break-o-meter), and they may be the source of back formations such as infotain. In this paper, we present a corpus-based analysis of eight English libfixes (cracy, fection, flation, gasm, licious, (o-)meter, tainment, and tastic), detailing their formal and semantic properties, as well as their differences and similarities. We argue that libfixes are most fruitfully analysed in a Bybeean network model, in which nodes are connected on the basis of phonological similarity, which allows for both fully compositional and non-compositional constructions to be linked without an exhaustive analysis into morphemes.
网络科学:英语库的网络分析
Libfixes是单词的一部分,与混合词、复合词和词缀都有共同的特性。它们是刻意形成的,通常带有诙谐的性格,例如书呆子味的“书呆子的美味”,或科学娱乐的“科学娱乐”。这些不是一次性的形成——一些库修复已经变得非常有效,单个语料库中的高类型频率就是明证。Libfix结构对于网络分析来说特别有趣,原因有三:它们并不总是有离散的词素边界,它们有各种各样的基(包括短语,如give-me-a-break-o-meter中的短语),它们可能是infotain等背形的来源。在本文中,我们对八个英语libfixes(cracy、infective、inflation、gasm、licious、(o-)meter、Entertainment和tastic)进行了基于语料库的分析,详细介绍了它们的形式和语义特性,以及它们的异同。我们认为,libfixes在Bybeean网络模型中得到了最有效的分析,在该模型中,节点基于语音相似性进行连接,这使得完全组成和非组成的结构都可以连接起来,而无需对语素进行详尽的分析。
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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来源期刊
Word Structure
Word Structure LANGUAGE & LINGUISTICS-
CiteScore
1.60
自引率
0.00%
发文量
10
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