Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-07T00:02:11.563Z Has data issue: false hasContentIssue false

The New York City–New Orleans connection: Evidence from constraint ranking comparison

Published online by Cambridge University Press:  03 January 2019

Katie Carmichael
Affiliation:
Virginia Tech
Kara Becker
Affiliation:
Reed College
Rights & Permissions [Opens in a new window]

Abstract

New York City English (NYCE) and New Orleans English (NOE) demonstrate remarkable similarity for cities located 1300 miles apart. Though the question of whether these dialects feature a shared history has fueled papers on the subject (Berger, 1980; Labov, 2007), there remain a number of issues with the historical record that prevent researchers from arriving at a consensus (Eble, 2016). This article presents linguistic evidence from constraint ranking comparisons of variable nonrhoticity and bought-raising in comparable contemporary samples of NYCE and NOE speakers. Findings demonstrate strikingly similar systems for (r), but dissimilar systems for bought-raising. We examine the results of our analyses in the context of evidence from previous comparisons of NYCE and NOE, concluding that the resemblance between the two dialects is likely due to diffusion from New York City to New Orleans, occurring in the 19th century before bought-raising emerged in either variety.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019 
Figure 0

Table 1. New York City participants by age

Figure 1

Table 2. New Orleans participants by age

Figure 2

Table 3. Internal factors for (r)

Figure 3

Table 4. Overall comparison of factor weights for (r) across NYCE (n = 8474) and NOE (n = 2855) models

Figure 4

Table 5. (r) systems across variably nonrhotic U.S. Englishes: Direction of effect

Figure 5

Table 6. Vowel constraint ranking across variably nonrhotic U.S. Englishes

Figure 6

Table 7. Internal factors for bought

Figure 7

Table 8. Overall comparison of factor weights for bought across NYCE and NOE models

Figure 8

Table 9. Correlations of factors for (r) and bought in NYCE and NOE

Figure 9

Table 10. Comparison of models for NYCE and NOE

Figure 10

Figure 1. Tensing environments for NYCE short-a system (adapted from Labov, 2007).

Figure 11

Figure 2. Tensing environments for NOE short-a system (adapted from Carmichael, 2014).

Figure 12

Table A1. NYCE (r) model: Factors predicting [r-1]Deviance: 4986.591df = 17Intercept: 3.59 Grand mean: .691Random effects of speaker (SD = 1.7474) and word (SD = 1.1)

Figure 13

Table A2. NOE (r) model: Factors predicting [r-1]Deviance: 2085.453 df = 16Intercept: 1.414 Grand mean: 573Random effects of speaker (SD = 2.79) and word (SD = 1.272)

Figure 14

Table A3. NYCE bought model: Factors predicting F1 at the 25% pointDeviance: 136.198 df = 15Intercept: −40.527 Grand mean: −.011Random effects of speaker (SD = .194) and word (SD = .086)

Figure 15

Table A4. NOE bought model: Factors predicting F1 at the 25% point as the dependent variableDeviance: 1386.132 df = 15Intercept: .79 Grand mean: .813Random effects of speaker (SD = .171) and word (SD = .114)