David Herman: Quantitative Methods in Narratology: A Corpus-Based Study of Motion Events in Stories

The following is an appendix to David Herman's "Quantitative Methods in Narratology: A Corpus-Based Study of Motion Events in Stories," published in Narratology Beyond Literary Criticism. Narratologia 6. Ed. Jan Christoph Meister, in cooperation with Tom Kindt, Wilhelm Schernus, and Malte Stein. Berlin: De Gruyter, 2005. 125-49.
For a follow-up study that re-analyzes the findings of this chapter, by situating them in a broader comparison of hypothesis-driven (or top-down) and data-driven (or bottom-up) methods of corpus analysis, see 
Salway, Andrew, and David Herman. "Digitized Corpora as Theory-Building Resource: New Methods for Narrative Inquiry." New Narratives: Stories and Storytelling in the Digital Age. Eds. Ruth Page and Bronwen Thomas. Lincoln: University of Nebraska Press (forthcoming in 2011).
Further, a preliminary description of the research informing Salway's and Herman's follow-up project can be found in this account of the Corpus Narratology Initiative, under whose auspices the project was conducted:

 

Table 7 lists, by text-type, all occurrences of the motion verbs considered for the present study. In all, lemmas for 132 different verbs of motion were tabulated in a corpus consisting of 211,649 words of narrative text. (See section 3.2.2 of the chapter for a description of the criteria used to select the verbs listed in Table 7.) As indicated previously, eight different narrative text-types were included in the corpus: North Carolina Ghost Stories; Oral Holocaust Testimonies; 19th-Century Realistic Fiction; 19th-Century Psychological Fiction; 20th-Century Realistic Fiction; 20th-Century Psychological Fiction; 19th-Century Nonfiction; 20th-Century Nonfiction.

The following is a further breakdown of the narratives included in each text-type. Examples of each category were chosen, in part, on the basis of their availability on the World Wide Web.i Narratives accessible online were more readily converted to the.txt or text-only format required as input for the CONC 1.76 concordance generator.

 

  • Ghost stories exemplified by tales of the supernatural collected during the 1990s in Graham County, in Robeson County, and on Ocracoke Island, North Carolina, by researchers associated with the North Carolina Language and Life Project, which is based at North Carolina State University (see http://www.ncsu.edu/linguistics) (reports of research on this sub-corpus of ghost stories can also be found in Herman 2001, 2003a, 2003b).

  • Oral Holocaust testimony exemplified by three oral testimonials retrieved from the Voices of the Holocaust website (<http://voices.iit.edu/>).

  • 19th-Century Realistic Fiction exemplified by George Eliot’s Middlemarch, retrieved from the Electronic Text Center based at the University of Virginia (<http://etext.lib.virginia.edu/mission.html>).

  • 19th-Century Psychological Fiction exemplified by Edgar Allan Poe’s “The Fall of the House of Usher,” retrieved from the Electronic Text Center based at the University of Virginia.

  • 20th-Century Realistic Fiction exemplified by James Joyce’s “The Dead” (<http://www.bibliomania.com/0/0/29/63/frameset.html>).ii

  • 20th-Century Psychological Fiction exemplified by Henry James’s “The Jolly Corner” (<http://gaslight.mtroyal.ca/jolycrnr.htm>)

  • 19th-Century Nonfiction exemplified by the slave narrative written by Henry Bibb and retrieved from the Electronic Text Center based at the University of Virginia

  • 20th-Century Nonfiction exemplified by the memoir of Marcel Braitstein (<http://migs.concordia.ca/memoirs/braitstein/braitstein.html>)

 

The CONC 1.76 Concordance generator can be downloaded as freeware for Macintosh computers from the website maintained by the Summer Institute of Linguistics (<http://www.sil.org/computing/conc/>; this page contains links to the CONC tutorial and CONC manual). Also available from the Summer Institute of Linguistics is MonoConc, a different concordancing tool for Windows as well as Macintosh platforms, as well part of speech (POS) taggers. For information about other concordance-generating programs that can be used for corpus-based research, see Hockey (2001).

 

Base Form

Ghost stories

Oral Holocaust testimony

Realistic 19

Psycholo. 19

Realistic 20

Psychol. 20

Nonfiction 19

Nonfiction 20

Totals (Per Verb)

advance

 

 

1

 

2

4

1

 

8

approach

 

4

4

2

1

 

11

2

24

arise

 

 

 

1

 

 

 

 

1

arrive

 

10

3

2

 

4

 

27

46

bend

 

 

3

1

3

3

 

2

12

betake (self)

 

 

1

1

 

 

 

 

2

bolt

 

 

 

 

 

 

5

 

5

bound (along)

 

 

 

 

1

 

 

 

1

bring

1

25

32

2

3

9

28

5

105

bust (through)

1

 

 

 

 

 

 

 

1

charge (up)

 

 

 

 

 

 

1

 

1

circulate

 

 

 

 

 

1

 

 

1

circumvent

 

 

1

 

 

 

 

 

1

climb

 

 

 

 

 

 

1

3

4

collapse

 

 

 

 

 

 

 

2

2

come

50

96

68

8

53

44

97

124

540

contract

 

 

 

 

 

1

 

 

1

crawl

6

 

 

 

 

 

3

 

9

creep

 

 

 

1

 

3

 

 

4

cross

 

5

 

1

3

2

12

2

25

dangle

 

 

 

 

1

1

 

 

2

dart

 

 

2

 

 

 

 

 

2

depart

 

1

 

 

 

1

 

 

2

descend

 

 

2

 

1

2

 

 

5

dive

 

 

 

 

 

 

 

1

1

draw

 

 

 

 

 

2

3

1

6

drive

 

 

6

 

3

 

 

 

9

drop

 

1

3

2

 

5

1

 

12

emerge

 

 

 

 

 

2

 

1

3

emigrate

 

5

 

 

 

 

 

1

6

enter

 

1

7

4

1

2

31

5

51

escape

 

4

1

1

5

 

19

5

35

fall

3

7

10

7

14

4

10

5

60

ferry (self)

 

 

 

 

 

 

1

 

1

flee

 

 

 

 

 

 

4

 

4

fling (self)

 

 

 

 

1

 

 

 

1

float

 

 

 

2

 

 

1

 

3

flow

 

 

 

4

 

 

1

1

6

fly

 

 

 

2

 

 

4

3

9

gallop

 

 

1

 

3

 

1

 

5

get

24

67

17

 

4

3

77

52

244

go

81

93

78

1

63

17

163

196

692

head

 

 

 

 

 

 

 

1

1

hurry

 

 

1

1

1

 

1

 

4

issue

 

 

 

1

 

 

 

 

1

jump

3

 

 

 

1

 

4

6

14

kick (intrans.)

 

 

 

 

 

 

4

 

4

kneel

 

 

 

 

 

 

1

 

1

launch (into)

 

 

 

 

 

 

1

 

1

lie (down)

 

2

 

 

1

 

 

 

3

lean

 

 

1

 

2

1

 

 

4

leap

 

 

 

1

1

1

3

 

6

leave

1

39

5

 

3

10

54

31

143

march

 

6

 

 

 

 

2

 

8

move

1

4

4

3

2

6

5

25

50

near

 

 

 

 

1

 

 

 

1

pace

 

 

 

1

1

 

 

 

2

part

 

 

 

 

 

 

7

1

8

pass

 

7

11

6

7

3

24

4

60

plunge

 

 

 

 

 

 

1

2

3

prance

 

 

 

 

 

 

1

 

1

proceed

 

 

 

 

1

 

 

 

1

progress

 

 

 

 

1

 

 

 

1

prowl

 

 

 

 

 

1

 

 

1

quit

 

 

1

 

 

 

 

 

1

race

 

 

 

 

 

 

 

3

3

raise (self)

 

 

 

 

1

 

 

 

1

ramble

 

 

 

 

1

 

 

 

1

rattle (off)

 

 

 

 

1

 

 

 

1

reach

1

2

4

3

3

3

6

2

24

rear

 

 

 

1

 

 

 

 

1

recoil

 

 

 

 

 

2

 

 

2

reel

 

 

 

2

 

 

 

 

2

reenter

 

 

2

 

 

 

 

 

2

retire

 

 

 

1

 

2

 

 

3

retreat

 

1

 

1

 

2

 

 

4

return

 

5

7

 

 

 

15

6

33

revert

 

 

 

 

 

 

 

1

1

ride

 

1

 

1

 

 

4

4

10

rise

 

 

 

2

1

2

1

1

7

roam

 

 

 

1

 

2

 

1

4

rock

 

 

 

2

 

 

 

 

2

roll

 

 

1

1

 

 

1

1

4

run

2

7

5

1

12

1

63

9

100

rush

 

 

 

4

 

 

5

7

16

sally (forth)

 

 

 

 

 

1

 

 

1

scamper

 

 

 

 

1

 

 

 

1

scatter

 

 

 

 

 

 

1

1

2

seat (self)

 

1

1

 

 

1

1

 

4

shuffle

 

 

 

 

 

 

 

1

1

sink (back)

 

 

1

 

 

1

 

 

2

sit

 

 

 

 

 

 

 

10

10

slide

 

 

1

 

 

 

 

1

2

slip

 

4

1

 

 

2

15

 

22

spread

 

 

 

 

 

 

 

4

4

spring

 

 

1

1

 

1

8

1

12

stagger

 

 

 

 

 

 

1

 

1

stalk (off)

 

 

 

 

 

 

1

1

2

step

 

 

 

 

 

2

6

10

18

stir

 

 

 

 

 

1

 

 

1

steal

 

 

 

 

 

1

 

 

1

straggle

 

 

 

 

 

 

1

 

1

stray

 

 

 

 

 

1

 

 

1

stream

 

 

 

 

 

 

1

 

1

stretch (self)

 

 

 

 

1

 

 

 

1

stride

 

 

 

1

 

 

 

 

1

stumble

 

 

 

 

 

 

1

 

1

swim

 

 

 

 

 

 

1

3

4

sway

 

 

 

1

 

 

 

 

1

swerve

 

 

1

 

 

 

 

 

1

swoon

 

 

 

 

1

 

 

 

 

swoop

 

 

 

 

 

 

 

1

1

take

 

55

22

2

7

6

111

53

256

travel

 

2

5

 

 

1

40

5

53

traverse

 

 

1

 

 

1

 

 

2

tread

 

 

1

 

 

 

 

 

1

trickle

 

 

 

 

 

 

 

1

1

tumble

 

 

 

 

 

 

 

1

1

turn

6

7

18

2

22

7

10

7

79

twist

 

 

 

 

1

 

 

1

2

uplift (self)

 

 

 

1

 

 

 

 

1

waft

 

 

 

 

 

 

1

 

1

walk

16

34

15

 

15

5

21

37

143

wander

 

 

3

 

5

3

3

2

16

wave

 

 

 

 

 

 

1

 

1

wheel (about)

 

 

 

 

 

1

 

 

1

wiggle (off)

 

 

 

 

 

 

 

1

1

zoom (by)

 

 

 

 

 

 

 

1

1

Totals

196

496

353

83

256

181

902

685

 

 

Table 7. All Verbs of Motion in the Corpus

 

 

 

 

 

 

 

 

 

i All web pages and websites listed in this appendix were functional as of 5 March 2004.

ii In terms of literary periods, Joyce’s text is of course a “modernist” rather than a “realist” work; however, in terms of its concentrated use of descriptive detail, emphasis on scene-setting, and overall manipulation of reality effects (Barthes 1986 [1968]), “The Dead” can be contrasted with James’s “The Jolly Corner,” which uses setting mainly as a backdrop for in-depth exploration of the protagonist’s interior life.

About us

ENN is the European Narratology Network, an association of individual narratologists and narratological institutions. ENN aims to foster the study of narrative representation in literature, film, digital media, etc. across all European languages and cultures.