Analyzing lexical emergence in modern American English online


This paper 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 formations 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.

Publication DOI:
Divisions: ?? 53981500Jl ??
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
College of Business and Social Sciences > School of Social Sciences & Humanities > Centre for Language Research at Aston (CLaRA)
Additional Information: CORRIGENDUM: In the above mentioned article by Grieve, Nini & Guo, an error has occurred in the section numbering. Section 4 is missing and has been mistakenly labelled with section 5. All sections and subsections labelled section 5, should be section 4. Which means section 6 should be renamed section 5. DOI:
Uncontrolled Keywords: Language and Linguistics,Linguistics and Language
Publication ISSN: 1469-4379
Last Modified: 26 Feb 2024 08:15
Date Deposited: 19 Aug 2019 10:19
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL) ... D9EE3789E2BE597 (Publisher URL)
PURE Output Type: Article
Published Date: 2017-03-01
Published Online Date: 2016-05-25
Accepted Date: 2016-03-11
Authors: Grieve, Jack (ORCID Profile 0000-0003-3630-7349)
Nini, Andrea
Guo, Diansheng



Version: Published Version

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