Analyzing lexical emergence in Modern American English online
Analyzing lexical emergence in Modern American English online
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DOI：
10.1017/s1360674316000113
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发表时间：
2017-03-01
影响因子：
1
通讯作者：
Guo, Diansheng
中科院分区：
文献类型：
--
作者：
Grieve, Jack;Nini, Andrea;Guo, Diansheng
本文介绍了一种定量方法，用于识别自然语言的大型时间戳语料库中新出现的单词形式，然后描述了使用这种方法分析美国社交媒体中的词汇出现，基于2013年10月至2014年11月收集的数十亿字的推文语料库。在总共29个新出现的词的形式，代表了不同的语义类，语法词性和构词过程，通过这种分析被确定。然后从不同的角度对这29种形式进行考察，以便开始更好地理解词汇出现的过程。
This article introduces a quantitative method for identifying newly emerging word forms in large time-stamped corpora of natural language and then describes an analysis of lexical emergence in American social media using this method, based on a multi-billion-word corpus of Tweets collected between October 2013 and November 2014. In total 29 emerging word forms, which represent various semantic classes, grammatical parts-of-speech and word formation processes, were identified through this analysis. These 29 forms are then examined from various perspectives in order to begin to better understand the process of lexical emergence.