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anymore, It’s on Twitter
American Speech ( IF 1.0 ) Pub Date : 2019-08-01 , DOI: 10.1215/00031283-7587883
Christopher Strelluf 1
Affiliation  

Positive anymore is recognized as a feature of some dialects of English. However, because positive anymore occurs infrequently in conversational speech, studies have generally relied on grammaticality judgments. This article takes advantage of the massive corpus of speech-like text available on the social media platform Twitter to study productions of positive anymore in American English. More than 80,000 tweets containing anymore were collected over one month from areas around five Midland cities and three non-Midland cities. Tweets were coded for 20 types of negative polarity item (NPI) triggers and for the position of anymore within clauses. Results confirm that, in the context of American regional Englishes, positive anymore is a distinctive feature of the Midland. However, results also show intraregional differences within the Midland, with anymore being produced more frequently in Pittsburgh and less frequently in the western Midland cities of Kansas City and St. Louis. Midland cities also show increased incidence of anymore with several NPI triggers that should license NPIs in all dialects, suggesting that these ostensibly ordinary NPI triggers may affect or be affected by the use of anymore in positive polarity contexts. More generally, this research models ways that productions of positive anymore and other low-frequency linguistic variables might be studied through media like Twitter.

中文翻译:

不再,它在推特上

肯定不再被认为是某些英语方言的特征。然而,由于在会话语音中不再经常出现肯定,因此研究通常依赖于语法判断。本文利用社交媒体平台 Twitter 上提供的大量类似语音的文本语料库来研究美式英语中的积极内容。在一个月的时间里,从五个米德兰城市和三个非米德兰城市周围的地区收集了超过 80,000 条包含更多内容的推文。推文被编码为 20 种类型的负极性项目 (NPI) 触发器和子句中的位置。结果证实,在美国地区英语的背景下,积极的不再是米德兰的一个显着特征。然而,结果也显示了中部地区的区域内差异,在匹兹堡更频繁地生产,而在堪萨斯城和圣路易斯的西部米德兰城市则更少。米德兰城市也显示出更多的 NPI 触发器的发生率增加,这些触发器应该许可所有方言中的 NPI,这表明这些表面上是普通的 NPI 触发器可能会影响或受在正极性上下文中使用“不再”的影响。更一般地说,这项研究模拟了可以通过 Twitter 等媒体研究积极的产生和其他低频语言变量的方式。表明这些表面上普通的 NPI 触发器可能会影响或受在正极性环境中使用 more 的影响。更一般地说,这项研究模拟了可以通过 Twitter 等媒体研究积极的产生和其他低频语言变量的方式。表明这些表面上普通的 NPI 触发器可能会影响或受在正极性环境中使用 more 的影响。更一般地说,这项研究模拟了可以通过 Twitter 等媒体研究积极的产生和其他低频语言变量的方式。
更新日期:2019-08-01
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