Analyzing lexical emergence in modern American English online

Jack Grieve*, Andrea Nini, Diansheng Guo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)99-127
Number of pages29
JournalEnglish Language and Linguistics
Issue number1
Early online date25 May 2016
Publication statusPublished - 1 Mar 2017

Bibliographical note

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:


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