In this issue:
LEADERSHIP UPDATES
LETTER FROM THE EDITORS
LETTER FROM THE CHAIR
LETTER FROM THE INCOMING CHAIR
ARTICLES
A NEW ACADEMIC VOCABULARY LIST
PLAY AND COGNITION IN THE EAP CLASSROOM
LEARNING GRAMMAR BY EAR
MAKING HUMOR TEACHABLE: A FOCUS ON MICROSKILLS DEVELOPMENT
ABOUT THIS COMMUNITY
APPLIED LINGUISTICS INTEREST SECTION (ALIS)
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ARTICLES
A NEW ACADEMIC VOCABULARY LIST
Dee Gardner, Brigham Young University, Provo, Utah, USA
The role of academic vocabulary in the school success of ELLs
is well established (Nagy & Townsend, 2012). Simply stated,
those who have sufficient vocabulary knowledge are better readers and
writers than those who do not. By extension, those who read and write
well perform better in school overall, and they are much better equipped
to pass the gate-keeping tests of higher education (e.g., ACT, SAT,
GRE, GMAT, LSAT, MCAT), thus improving their opportunities for economic
success (Gardner, 2013). The same is true for native-language learners.
These facts have fueled the extensive interest in vocabulary learning
and teaching in academic settings. However, part of the problem with
vocabulary training is that there are several million lexemes of English
(words with different meanings), and many new words enter the language
every year. Where does one begin to learn or teach from such an enormous
pool of words?
With this in mind, my colleague and I analyzed a corpus of more
than 120 million running words of academic English and found that a
relatively small number of distinct words (3,015) were much more common
among the nine major disciplines of our academic corpus than they were
in general English (Gardner & Davies, 2014). We formalized these
words into the Academic Vocabulary List (AVL). This new list is
different in many ways from the Academic Word List (AWL; Coxhead, 2000),
which has served language education well for more than 15 years. I
highlight these differences in what follows.
- The AWL was based on a corpus of 3.5 million words of
academic English, mostly from New Zealand. The AVL was based on a corpus
of 120 million words of academic English, primarily from the United
States.
- Word counts in the AWL were based on word families (base
word forms with their inflections and transparent derivatives), whereas
the AVL counts were based on lemmas (base word forms distinguished by
part of speech—nouns, verbs, adjective, adverbs—together with their
simple inflections). The example in Table 1 illustrates the difference.
The value of considering lemmas over word families is obvious
in this example, as proceeds, the noun (n),
pronounced with stress on the first syllable, and proceeds, the verb (v), pronounced with stress on the
second syllable, would be erroneously considered as being the same word
family, but they would be correctly treated as being different lemmas.
Likewise, the noun proceedings (meaning records or minutes), the noun procedure (meaning technique), and
the adjective procedural (meaning technical or routine) would be
counted as their own lemmas instead of as part of the same word family.
Also, knowing that a particular word is functioning as a noun or a verb
or an adjective helps to constrain the possible meanings of that word.
For example, it makes a big difference if we know that study is a noun (e.g., They will complete
the study) instead of a verb (e.g., She will study
for the exam).
Table 1. Example of word family versus lemmas
One Word Family (AWL) =
Proceed
Proceeds
Procedural
Procedure
Procedures
Proceeded
Proceeding
Proceedings |
Four Lemmas (AVL)
Proceeds (v)
Proceeding (v)
Proceeded (v)
Proceeds (n)
Proceedings (n)
Procedure (n)
Procedures (n) |
Note: yellow here and hereafter indicates academic core words
- The AWL was built on top of the General Service List
(GSL; West, 1953), a list of 2,000 high frequency word families of
English. In other words, any academic words appearing on the GSL were
not considered in the AWL (e.g., company, market, account,
business, capital, exchange, interest). In contrast, words on
the AVL were derived purely by statistics—that is, all words were
considered if they appeared statistically more often in academic
materials than in other registers of English, and if they had sufficient
coverage across nine disciplines of academic English: (1) education;
(2) humanities; (3) history; (4) social science; (5)
philosophy/religion/psychology; (6) law/political science; (7)
science/technology; (8) medicine/health; and (9) business/finance. The
result is that the AVL contains academic words at all levels of
frequency, making it possible to more effectively address the core
academic vocabulary needs of learners at essentially any level of
proficiency.
To illustrate this point, Table 2 provides examples of AVL
lemmas at three different frequency bands. It is clear that AVL lemmas
in the first column are much more frequent and basic than those in the
second and third columns. Despite the relative differences in frequency
and sophistication, all of these lemmas are what I refer to as being
“saturated with academic sense.” In other words, these words are likely
to occur in many different academic disciplines, thus validating their
“core” status.
Table 2. AVL lemmas at three different frequency bands
|
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20 |
AVL Lemma
study
group
system
social
provide
however
research
level
result
include
important
process
use
development
data
information
effect
change
table
policy |
POS
n
n
n
j
v
r
n
n
n
v
j
n
n
n
n
n
n
n
n
n
|
Rank
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1521
|
AVL Lemma
bridge
individualism
noteworthy
impetus
experimentation
sequential
continuation
attributable
disparate
safeguard
suppression
subset
markedly
concurrent
degrade
incompatible
tenet
unify
indispensable
intended |
POS
v
n
j
n
n
j
n
j
j
v
n
n
r
j
v
j
n
v
j
j
|
Rank
2996
2997
2998
2999
3000
3001
3002
3003
3004
3005
3006
3007
3008
3009
3010
3011
3012
3013
3014
3015
|
AVL Lemma
unidirectional
redirection
reversion
obtainable
privation
inborn
bimonthly
capitalistic
circumscribed
targeting
unusable
unpalatable
causally
prioritization
overemphasis
imprimatur
coherently
component
tangential
relevancy
|
POS
j
n
n
j
n
j
r
j
j
n
j
j
r
n
n
n
r
j
j
n
|
(n = noun; v =verb; j= adjective; r = adverb)
- AVL lemmas were subsequently grouped into word families to
meet certain learning, teaching, and research purposes. Unlike the AWL,
however, AVL families maintain their lemma distinctions within the word
families, as the comparison in Table 3 shows. In the AVL case, we can
see that only three lemmas are actually on the
AVL—control (noun), control
(verb), and uncontrolled (adjective). The two red
lemmas, controller (noun) and controlled (adjective), are specialized (technical)
academic words in the disciplines of science and medicine, respectively.
The four gray words, while part of the control
family from a purely linguistic perspective, are not found statistically
more often in academic materials than they are in general English. The
numbers next to the words indicate the frequency of the words in the
academic corpus, thus giving some indication of the relative importance
of the words. Such detail is very useful for teachers, learners,
researchers, and materials writers.
Table 3. Example of AWL word family versus AVL word family
AWL Example for Control Family
control, controlled, controller, controlling,
controls, uncontrollable, uncontrollably,
uncontrolled
AVL Example for Control Family
control (n) 45690 control (v) 19621 controller (n) Sci 1780 controlled (j) Med 1392 uncontrolled (j) 425
controlling (j) 353 uncontrollable (j) 337 controllable (j) 329 uncontrollably (r) 64 |
Knowing what is common or core in academic materials (the
AVL) allows us to be more precise in determining what is specialized in
those materials. Table 4 shows how academic vocabulary can be focused on
in terms of academic core words (AVL—yellow), discipline core words
(from the general core of English—magenta), and discipline technical
words (within specific disciplines—red). All of these are derived
statistically from the academic corpus.
Finally, our dynamic web
interface contains important information about all words on
the AVL, and also allows users to input any text and receive detailed
information about the academic core words (AVL) and discipline-specific
words (technical) in that text. This tool is particularly well suited
for many academic reading and writing purposes.
Table 4. Academic vocabulary levels
References
Coxhead, A. (2000). A new academic word list. TESOL
Quarterly, 34, 213–238.
Gardner, D. (2013). Exploring vocabulary: Language in action. London, England: Routledge.
Gardner, D., & Davies, M. (2014). A new academic
vocabulary list. Applied Linguistics, 35(3), 305–327.
Nagy, W., & Townsend, D. (2012). Words as tools:
Learning academic vocabulary as language acquisition. Reading
Research Quarterly, 47(1),
91–108.
West, M. (1953). A general service list of English
words. London, England: Longman, Green.
Dee Gardner is a professor of Applied Linguistics and
TESOL at Brigham Young University in Provo, Utah. He specializes in
vocabulary, reading, and applied corpus linguistics.
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