English verb regularization in books and tweets
PLoS ONE, ISSN: 1932-6203, Vol: 13, Issue: 12, Page: e0209651
2018
- 12Citations
- 119Usage
- 28Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations12
- Citation Indexes11
- 11
- CrossRef1
- Policy Citations1
- Policy Citation1
- Usage119
- Downloads115
- Abstract Views4
- Captures28
- Readers28
- 28
Article Description
The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular (-ed) forms for the past tense of verbs. In this study we quantify the extent of verb regularization using two vastly disparate datasets: (1) Six years of published books scanned by Google (2003-2008), and (2) A decade of social media messages posted to Twitter (2008-2017). We find that the extent of verb regularization is greater on Twitter, taken as a whole, than in English Fiction books. Regularization is also greater for tweets geotagged in the United States relative to American English books, but the opposite is true for tweets geotagged in the United Kingdom relative to British English books. We also find interesting regional variations in regularization across counties in the United States. However, once differences in population are accounted for, we do not identify strong correlations with socio-demographic variables such as education or income.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85059224374&origin=inward; http://dx.doi.org/10.1371/journal.pone.0209651; http://www.ncbi.nlm.nih.gov/pubmed/30592735; https://dx.plos.org/10.1371/journal.pone.0209651; https://scholarworks.uvm.edu/cemsfac/17; https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1016&context=cemsfac; https://dx.doi.org/10.1371/journal.pone.0209651; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0209651
Public Library of Science (PLoS)
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