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Levelling, isogloss movement or artefacts of the method? Mapping change between the SED and the English Dialects App Traditional data collection methods in dialectology and variationist sociolinguistics have Crowdsourcing research papers in gathering sufficient quantities of data from a sufficient range of localities to map variation and study patterns of historical Dialectological surveys typically sample few informants per locality; sociolinguistic interview corpora typically sample a relatively low number of localities.
By contrast, online surveys, whether browser-based or in the form of smartphone apps, allow researchers to gather much larger quantities of data very quickly. Such methods also typically achieve very different samples of the population than traditional methods.
By asking users to self-report which variants they use in casual speech, we have collected data for 26 variables from over 40k speakers in the UK. There are substantial differences between these two datasets, especially in certain regions.
For example, most SED respondents in the south-west of England and along the south coast exhibited rhoticity, whereas in the EDA rhoticity has become a minority variant throughout this region. In this paper, we will investigate aggregate linguistic difference between the SED and the EDA across all 25 variables and try to disambiguate possible interpretations of these differences.
In principle, linguistic difference between the two datasets could be the result of: We will examine predictions from each of these hypotheses to distinguish between them. For example, if differences between the SED and EDA do not reflect historical change but merely a difference in sample populations, we should see smaller linguistic differences in the demographic subset of the EDA that most closely resembles the SED.
If differences are due to the discrepancy in data collection methods, they should apply equally in all locations. If differences are due to isogloss movement, we should see them concentrated along historical isogloss bundles.
The result of such tests is that linguistic differences between the SED and EDA cannot be attributed solely to the difference of methods or sample populations, but must at least to some extent reflect historical change.
This change does not, for the most part, appear to be driven by isogloss movement, but nor is it strongly associated with the socially or geographically mobile populations expected to drive levelling. The English Dialects App: The creation of a crowdsourced dialect corpus.
Survey of English dialects. Published for the University of Leeds by E.Oral 3D computer vision Elastic Fragments for Dense Scene Reconstruction (project, PDF)Qian-Yi Zhou* (Stanford University), Stephen Miller (Stanford University), Vladlen Koltun (Stanford University).
w Suresh De Mel David McKenzie Christopher Woodruff: Labor Drops: Experimental Evidence on the Return to Additional Labor in Microenterprises. Welcome to the 25 th World Wide Web Conference.
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The Effects of Exposure Time on Memory of Display Advertisements Daniel G. Goldstein Yahoo! Research New York, NY, USA [email protected] R.