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Grieve, Jack; Nini, Andrea; Guo, Diansheng (2016)
Languages: English
Types: Article
Subjects: Language and Linguistics, Linguistics and Language, /dk/atira/pure/subjectarea/asjc/1200/1203, /dk/atira/pure/subjectarea/asjc/3300/3310

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.

  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    The results below are discovered through our pilot algorithms. Let us know how we are doing!

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