A regional analysis of contraction rate in written Standard American English



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1 All computer programs used in this survey, including the scripts used to compile the corpus, compute contraction rate, and calculate the two measures of spatial autocorrelation, were designed and written by the author using the programming language Perl.

2 In order to implement a spatial weighting function, the distance between every pair of cities in the corpus was calculated using longitudes and latitudes for the cities provided by the U.S. Census Bureau and the great circle distance formula (Sinnott 1984).

3 The Getis-Ord Gi* maps associate each location with one of 11 levels of z-scores: z-scores larger than or equal to 2.84, corresponding to the adjusted .0045 alpha level; z-scores larger than or equal to 2.58, corresponding to the a .01 alpha level; z-scores larger than or equal to 1.96, corresponding to a .05 alpha level; z-scores larger than or equal to 1.64, corresponding to a .10 alpha level; z-scores larger than or equal to 1.00; and z-scores between +1.00 and -1.00. By identifying clusters of locations with highly positive or negative Getis-Ord Gi* z-scores, regional patterns can be identified in the distribution of each variable.

4 The fact that double contraction shows no significant degree of global spatial autocorrelation is surprising as it is the only variable analyzed in this study that has been tested for regional variation in American English in a previous study (Yaeger-Dror et al. 2002), where it was found that in the northern United States relatively more not-contractions are used. This claim is supported to a limited degree by the present study, as not contraction in double contraction environments was found to be somewhat more common in the North Central States; however, there is no clear north/south pattern, although it should be noted once again that this variable had the lowest minimum frequency across the city sub-corpora, indicating that its actual values were likely not estimated as accurately as the other variables.

5 It should be noted that all three forms of non-standard contraction are very rare in the corpus and as such exhibit very little variation in their raw values. This fact, however, should not call in question the validity of the findings related to these variables; rather, these findings demonstrate that regional patterns exist even at this microscopic level of linguistic variation.

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Table 1. Contraction measures

Measure

Variant A

Variant B

BE not contraction

I wasn't surprised that Miss USA was the target of cruel, classless and misdirected heckling (Minneapolis Star Tribune, June 1, 2007).

Also, I was not qualified to empty trash cans at the Windham Public Schools (Willimantic Chronicle, December 4, 2007).

HAVE not contraction

I hadn't realized how much I missed Donald Rumsfeld (Oakland Tribune, August 3 2007).

I had not considered you a tabloid paper until now (San Diego Union-Tribune, May 28, 2005).

DO not contraction

I'm sure they'd be thrilled to know that a lonely old man in the cornfields of Iowa doesn't approve of their gay-friendly lifestyle (Burlington Hawk Eye, July 7, 2008).

As my high school students well know, this does not include Wikipedia or some guy's blog (Alexandria Daily Town Talk, May 13, 2007).

Modal not contraction

Pizza just wouldn't be pizza without it and unless the power of law force-feeds us "spices" now and again (Boston Herald, July 9, 2007).

In the post-incident report, city police said the shopkeeper would not be charged (Pensacola News Journal, October 2, 2006).

BE contraction

It’s possible he's achieving that goal without having to commit an obvious act of terrorism (Dallas Morning News, September 14, 2006).

But he is achieving the goal of his bosses, the giant corporations, which is to destroy the working middle class (Fresno Bee, July 3, 2005).

HAVE contraction

They've failed to instill morality into their parishioners (Oklahoma City Oklahoman, August 20, 2007).

Perhaps this example of misplaced priorities helps explain why they have failed (Mobile Press, August 26, 2007).

Modal contraction

I'll buy them both one-way tickets to France if they can guarantee they will never return (Poughkeepsie Journal, October 1, 2006).

I will buy my water—which will cost less than paying for the illnesses that could be acquired from water fountains (Orlando Sentinel, September 19, 2007).

Them contraction

I say send 'em all—Jimmy Carter, George H.W. Bush, Jesse Jackson, Bill Clinton and whomever else it takes (Colorado Springs Gazette, April 15, 2007).

We can send them all the weapons they need to take care of themselves, plus they have nuclear weapons (Cheyenne Tribune Eagle, July 23, 2006).

To contraction

Democrats are like a box of chocolates, you're always gonna get a bunch of nuts (Boise Statesman, September 17, 2005).

If one must be wealthy and a Republican to enter the Kingdom of God then I am never going to make it (Anniston Star, November 26, 2002).

Non-standard not contraction

Slapping more mascara and lipstick on this Iraq-surge pig ain't gonna make it fly (Grand Junction Daily Sentinel, September 10, 2007).

Holding hands and singing "Kumbaya" isn't going to change anything (Carlsbad Current-Argus, November 20, 2006).

Double contraction

He isn't the type of man who would intentionally and maliciously attempt to murder someone (Riverside Press Enterprise, April 24, 2006).

Maybe he's not the wacko, incompetent, industry pawn the editorial staff made him out to be (Roanoke Times, September 7, 2006).



Table 2. Descriptive statistics and global spatial autocorrelation results

Variables__Mean___500_mile___Weighting_Function'>Variables

Mean

500 mile

Weighting Function

Reciprocal

Weighting Function

Moran

I

z-

score

p

Moran

I

z-

score

p

BE not contraction

0.2638

0.0392

3.3602

0.0004

0.0111

1.3085

0.0951

DO not contraction

0.6217

0.0774

6.1097

0.0000

0.0612

5.2476

0.0000

HAVE not contraction

0.3952

0.0238

2.1266

0.0166

0.0137

1.4737

0.0708

Modal not contraction

0.4723

0.05

4.1108

0.0000

0.0346

3.1697

0.0008

BE contraction

0.2986

0.0274

2.5058

0.006

0.0145

1.625

0.0526

HAVE contraction

0.185

0.0256

2.3699

0.0089

0.0177

1.8874

0.0294

Modal contraction

0.1416

0.0226

2.121

0.017

0.0187

1.9556

0.025

Them contraction

0.0062

0.0275

2.388

0.0084

0.0192

1.8978

0.0287

To contraction

0.0032

0.0321

2.7727

0.0028

0.015

1.5996

0.0548

Non-standard not contraction

0.0208

0.0401

3.3227

0.0005

0.0398

3.5273

0.000

Double contraction

0.312

0.0135

1.3623

0.0869

0.0031

0.6386

0.2611



Table 3. Regional clusters

Variables

Positive value clusters

Negative value clusters

BE not contraction

Western Midwest, Central Plains

Deep South, Northeast

HAVE not contraction

Northwest, Western Midwest

Southeast, Midland

DO not contraction

Northwest, Western Midwest

Northeast, Middle Atlantic

Modal not contraction

Western Midwest, Central Plains

Northeast, Gulf Coast

Pronoun BE contraction

Central Plains, Upper Midwest, West Texas

Southeast, Middle Atlantic

Pronoun HAVE contraction

West Coast, Central Plains, West Texas

Northeast, Midland

Pronoun modal contraction

West Texas, Northwest

Southeast

Them contraction

West Coast

Northeast, Midwest

To contraction

South Central States, Southeast, Northwest

Northeast, Middle Atlantic, Northern Midwest

Non-standard not contraction

Southeast

Northeast, Midwest

Double contraction

Upper Midwest

Middle Atlantic, Southeast

Figure 1 Geographical Distribution of City Sub-Corpora


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