Patterns of age-based linguistic variation in American English

By Federica Barbieri. 2008

92 citations recorded by the source corpus.

Subfields: Communication, Language and Linguistics, Literature and Literary Theory

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Citations in the corpus

"How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013, background): “(Labov 1966; Trudgill 1974; Barbieri 2008)).”
Demographic Factors Improve Classification Performance (2015, background): “While the effect of age on language use is undisputed (Barke, 2000; Barbieri, 2008; Rickford and Price, 2013), providing a clear cut-off is hard.”
Tagging Performance Correlates with Author Age (2015, background): “While sociolinguistics agrees on language change between age groups (Barke, 2000; Schler et al., 2006; Barbieri, 2008; Rickford and Price, 2013), it is not clear where to draw the line.”
It’s going to be okay: Measuring Access to Support in Online Communities (2018, unknown): “…based on the posting individuals, we include features known to be associated with age such as elongation and capitalization (Goswami et al., 2009; Barbieri, 2008), grammatical differences in sentence construction and length (Hovy and Søgaard, 2015), and a lexicon for age of acquisition (Kuperman…”
Author Age Prediction from Text using Linear Regression (2011, methodology): “Barbieri (2008) uses key word analysis to analyze language and age.”
Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment (2014, background): “Younger people use more alphabetical lengthening, more capitalization of words, shorter words and sentences, more self-references, more slang words, and more Internet acronyms (Rosenthal and McKeown, 2011; Nguyen et al., 2013; Rao et al., 2010; Goswami et al., 2009; Pennebaker and Stone, 2003; Barbi”
Cross-lingual syntactic variation over age and gender (2015, methodology): “Corpus-based studies of variation have largely been conducted either by testing for the presence or absence of a set of pre-deﬁned words (Pen-nebaker et al., 2001; Pennebaker et al., 2003), or by analysis of the unigram distribution (Barbieri, 2008).”