Title
Variation-Based Distance and Similarity Modeling: A Case Study in World Englishes.
Abstract
Inspired by work in comparative sociolinguistics and quantitative dialectometry, we sketch a corpus-based method (Variation-Based Distance & Similarity Modeling-VADIS for short) to rigorously quantify the similarity between varieties and dialects as a function of the correspondence of the ways in which language users choose between different ways of saying the same thing. To showcase the potential of the method, we present a case study that investigates three syntactic alternations in some nine international varieties of English. Key findings include that (a) probabilistic grammars are remarkably similar and stable across the varieties under study; (b) in many cases we see a cluster of "native" (a.k.a. Inner Circle) varieties, such as British English, whereas "non-native" (a.k.a. Outer Circle) varieties, such as Indian English, are a more heterogeneous group; and (c) coherence across alternations is less than perfect.
Year
DOI
Venue
2019
10.3389/frai.2019.00023
Frontiers Artif. Intell.
Keywords
DocType
Volume
VADIS,comparative sociolinguistics,dialectometry,probabilistic grammar,variationist linguistics
Journal
2
ISSN
Citations 
PageRank 
2624-8212
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Benedikt Szmrecsanyi110.71
Jason Grafmiller200.34
Laura Rosseel300.34