Year: 2016
Type: article
Abstract: 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.
Source: English Language and Linguistics
Authors: JACK GRIEVE, ANDREA NINI, DIANSHENG GUO
Institutions: Aston University, University of South Carolina
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W2307311961