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Corpusbased vocabulary testing in an English for Academic Purposes context Dr. Magdolna Lehmann Institute of English Studies, University of Pécs [email protected]

Corpus-based vocabulary testing in an English for Academic

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Page 1: Corpus-based vocabulary testing in an English for Academic

Corpus‐based vocabulary testing in an English for Academic Purposes context

Dr. Magdolna Lehmann

Institute of English Studies, University of Pé[email protected]

Page 2: Corpus-based vocabulary testing in an English for Academic

Rationale

First‐year students of English seem to have difficulties 

• in text comprehension and academic writing 

• fulfilling the course requirements

Page 3: Corpus-based vocabulary testing in an English for Academic

• Role of vocabulary in reading comprehension

(Laufer, 1997; Nation, 1993a)( , ; , )

• Vocabulary and academic success• Vocabulary and academic success(Morris & Cobb, 2003)

H th i l k f ffi i t d t b lHypothesis: lack of sufficient or adequate vocabulary knowledge

Page 4: Corpus-based vocabulary testing in an English for Academic

Aims of the studyAims of the study

• what words English majors need to be familiar withto be successful in their studies

• Corpus‐based selection of relevant lexical items for tour assessment purposes

Page 5: Corpus-based vocabulary testing in an English for Academic

BackgroundBackground

• Usefulness of a word = its frequency of occurrence• Usefulness of a word = its frequency of occurrence (Nation &Waring, 1997)

‐ high‐frequency vocabulary (GSL)

– low‐frequency vocabulary

– specialized vocabularyp y

– sub‐technical vocabulary (AWL)(Read 2000 p 159)(Read, 2000, p. 159)

Page 6: Corpus-based vocabulary testing in an English for Academic

• the first 2K GSL + 570 word families of AWL:

92% of spoken language 

84% of newspaper language (Nation, 2006)p p g g ( )

• to achieve reasonable comprehension:• to achieve reasonable comprehension: 

98% of all the words in any text must be known

(Hirsch & Nation, 1992; Laufer, 2005a, 2005b; Nation & Waring, 1997)

• “one in every 50 words is unknown” (Schmitt, 2008, p. 330)

Page 7: Corpus-based vocabulary testing in an English for Academic

How many words?

• Graduate native speakers:13 200 20 700 d– 13,200‐20,700 words (Goulden, Nation & Read, 1990, p. 341)

• Undergraduate native speakers:– 14,000 – 17,000 words (D'Anna, Zechmeister & Hall, 1991; Nusbaum, Pisoni & Davis, 1984; Zechmeister, D'Anna, Hall, Paus & Smith, 1993)

Page 8: Corpus-based vocabulary testing in an English for Academic

EFL learners?

Dutch students of English

10,000 words minimally

for good reading comprehension(Hazenberg & Hulstijn,1996)(Hazenberg & Hulstijn,1996)

Page 9: Corpus-based vocabulary testing in an English for Academic

Participants

Hungarian native speakersstudents of English at UP

Page 10: Corpus-based vocabulary testing in an English for Academic

Preliminary study

Vocabulary size of 1st‐year English majors at UP

• 93 students

• 2003 Autunm semester

• Receptive knowledge of 4,000 – 14,000 words

(range 8‐28/50)

Mean: 7,100 words,

Page 11: Corpus-based vocabulary testing in an English for Academic

If minimum is:

1) 5,000 words (Laufer, 1987, 1992a, 1992b) :

→ 15% of our students face difficulties → %in reading comprehension

2) 10,000 words (Hazenberg & Hulstijn, 1996)→ 94% fall below this level→ 94% fall below this level

Page 12: Corpus-based vocabulary testing in an English for Academic

Instruments

Higher levels of proficiency: 

vocabulary size + active/passive control y /p

are better predictors than qualitative analysisare better predictors than qualitative analysis

(Zareva, 2005, p. 560)

Page 13: Corpus-based vocabulary testing in an English for Academic

• Other considerations:

– filtering students with inadequate vocab size

– practicalityp y

– objectivity

computerized item analysis– computerized item analysis

– ease of scoring

– ease of administration

Page 14: Corpus-based vocabulary testing in an English for Academic

Vocabulary Levels Test(Nation, 1990; Schmitt, Schmitt & Clapham, 2001)

1 area 

2 contract __2___ written agreement

3 definition __5___ way of doing something

4 evidence __4___ reason for believing  

5 method something is or is not true

6 role

Page 15: Corpus-based vocabulary testing in an English for Academic

Procedures

1. Academic vocabulary (AWL) ‐ 220 studentsVocabulary Levels Test (Nation, 1990; Schmitt, Schmitt & Clapham, 2001)

2. Low‐frequency vocabulary (10k) ‐211 students

3. Words perceived as useful in English studies – 135 st

4. Corpus‐based test battery – 134 students

Page 16: Corpus-based vocabulary testing in an English for Academic

Lessons learnt from phases 1‐3

• AWL did not discriminate well

• 10k level contained irrelevant vocabulary

• Intuitive judgements of word frequency not as j g q yaccurate as corpus‐based counts (McCrostie, 2007)

→Solution:

C b d b lCorpus‐based vocabulary assessment

Page 17: Corpus-based vocabulary testing in an English for Academic

Compiling the corpus

• representative sample of authentic texts given as compulsory readings in the courses

• Corpus of Readings in English Studies (CORES)

• computerized

• three sub‐corpora

Page 18: Corpus-based vocabulary testing in an English for Academic

CORES

• monolingual• monolingual • written • L1 • dynamic and developing, as it is open fordynamic and developing, as it is open for continuous expansion

• un annotated• un‐annotated(based on Horváth’s (2001, p. 44) matrix of corpus typology)

Page 19: Corpus-based vocabulary testing in an English for Academic

Descriptive statistics of the frequency of lexis in CORES

CORES Families Types Tokens %

K1 Words (1-1000) 963 2,798 88,183 71.87

Function words (52,316) (42.64)

Content words (35,867) (29.23)

K2 Words (1001-2000): 733 1,479 6,508 5.30

1K+2K: 1,696 4,277 94,691 (77.17)

AWL Words (academic): 545 1,630 9,251 7.54

Off-List Words: ? 6,945 14,866 15,29

Overall 2,241+? 12,848 118,808 100.00

Page 20: Corpus-based vocabulary testing in an English for Academic

Rank orders and frequencies of the top 10 words in three corpora and the CORES corpuscorpora and the CORES corpus

CORES CIC CANCODE JPU

the (8 526) the (439 723) the (169 335) the (32 231)the (8,526) the (439,723) the (169,335) the (32,231)of (5,261) and (256,879) I (150,989) of (14,754)

to (3,526) to (230,431) and (141,206) to (11602)( ) ( ) ( ) ( )

and (3,405) a (210,178) you (137,522) and (10,835)

in (3,400) of (194,659) it (106,249) in (9,102)a (3,341) I (192,961) to (105,854) a (8,526)

that (1,864) you (164,021) a (103,524) is (6,409)

i (1 681) it (150 707) h (91 481) it (4 149)is (1,681) it (150,707) yeah (91,481) it (4,149)

as (1,336) in (142,812) that (84,930) that (4,123)for (1,099) that (124,250) of (78,207) I (3,695)for (1,099) that (124,250) of (78,207) I (3,695)

Page 21: Corpus-based vocabulary testing in an English for Academic

AWL content word types appearing over 40 times in CORES

TYPE RANGE FREQ AL L LCMOTIVATION 3 91 89 1 1ACQUISITION 2 75 22 53 0CULTURAL 3 73 8 2 63CULTURAL 3 73 8 2 63TENSE 2 73 9 64 0INDIVIDUAL 3 72 38 16 18PROCESS 3 70 28 30 12CULTURE 3 68 6 2 60SIMILAR 3 62 13 40 9PRINCIPLE 3 61 7 45 9ADULT 2 60 1 59 0ADULT 2 60 1 59 0INPUT 1 57 0 57 0ATTITUDES 3 56 50 1 5EVIDENCE 3 56 8 44 4STRUCTURE 3 55 2 48 5COMPLEX 3 54 12 27 15TEXT 3 54 7 30 17THEORY 3 52 10 38 4THEORY 3 52 10 38 4CONTEXT 3 50 15 28 7

Page 22: Corpus-based vocabulary testing in an English for Academic

Low‐frequency word types appearing six times or more in the CORES corpusin the CORES corpus

TYPE FREQ AL L LC

IMPRESSION 15 2 4 9IMPRESSION 15 2 4 9

VAST 13 2 7 4

REFERENCE 12 4 5 3

APPEAL 11 1 3 7

CONSERVATIVE 10 3 4 3

PROMINENT 10 4 2 4

LINEAR 9 2 4 3

LITERALLY 9 1 5 3LITERALLY 9 1 5 3

PROPOSITION 9 1 4 4

SCHOLAR 8 1 2 58 1 2 5

Page 23: Corpus-based vocabulary testing in an English for Academic

TYPE RANGE FREQ AL L LC

SEMANTIC 1 93 0 93 0

GRAMMATICAL 2 78 2 76 0

PHONOLOGICAL 1 50 0 50 0

PHRASE 3 50 4 44 2

NOVEL 3 47 2 20 25NOVEL 3 47 2 20 25

REANALYSIS 1 47 0 47 0

LINGUISTIC 3 39 10 28 1

BILINGUAL 2 38 2 36 0GU

NEGRO 1 37 0 0 37

CATHOLIC 1 35 0 0 35

COGNITIVE 2 33 3 30 0

NATIONALISM 1 32 0 0 32

VICTORIAN 1 30 0 0 30

LEXICAL 1 29 0 29 0

SYNTAX 3 29 1 27 1

SUFFIX 1 27 0 27 0

INTEGRATIVENESS 1 26 26 0 0

PHONOLOGY 2 26 3 23 0PHONOLOGY 2 26 3 23 0

PRAGMATIC 3 26 1 24 1

Page 24: Corpus-based vocabulary testing in an English for Academic

The CORES‐based test battery

10 l t• 10 clusters

• 30 items

• 30 distraktors

Page 25: Corpus-based vocabulary testing in an English for Academic

Test 1 Test 2

AWL 1 concept, estimate approach, consistent, indicate

AWL 2 appropriate, impact obtain, primary

AWL 3 i l d lAWL 3 imply demonstrate, locate

AWL 4 retain subsequent

AWL 5 fundamental, objective, pursuit exposure, sustain, target

AWL 6 edition, initiate, subsidy incentive, utility

AWL 7 comprise, successive voluntary

AWL 8 contemporary terminate arbitraryAWL 8 contemporary, terminate arbitrary

AWL 9 devote controversy, violate

advent, adversary, alleged, allot, amplify, apprentice, assault, breakthrough, chivalry, civic, conceal,

adherence, allude, appeal, apprehension, articulated, assertion, candidate, clergy, concede,

Low-frequency (rare)

congenial, contemplate, conviction, debilitating, denounce, descendant, designate, despised, doctrine, eloquence, elusive, endow, era, evoke, feasible, fragment, glimpse, gloomy, haunted, impending, lucrative, menace, merchandise, mushroom, obsession, pace portable postulate preface proliferation redeem

condemn, conspicuous, depict, disrupt, drawback, flawless, gratitude, heritage, indispensable, mandatory, preface, resemblance, retreat, revive, salient, salvation, scholar, scramble, specimen, stunning, surmount, tactful, testimony, tormented, trait tranquility uncanny unfold upheavalpace, portable, postulate, preface, proliferation, redeem,

subtletrait, tranquility, uncanny, unfold, upheaval, vernacular, wane, whimsical, wit, yearn

Page 26: Corpus-based vocabulary testing in an English for Academic

Desriptive statistics

CORES-based batteryTest 1 Test 2

Item number 30 30participants 86 48

Mean 18,314 16,833Variance 21,983 15,347

SD 4,689 3,918Minimum 5 10

Maximum 29 26Maximum 29 26

Median 18 17Cronbach α 0.779 0.665Cronbach α 0.779 0.665

Page 27: Corpus-based vocabulary testing in an English for Academic

Score distribution

16

10

12

14

6

8

10

stud

ents

Version 1Version 2

2

4

01 3 5 7 9 11 13 15 17 19 21 23 25 27 29

items correct

Page 28: Corpus-based vocabulary testing in an English for Academic

Item statistics

AWL i Low-frequency itemsAWL items Low frequency items

N Mean item difficulty SD Mean

DI SD N Mean item difficulty SD Mean

DI SD

Test 1 9 59,89 28,26 0,31 0,17 21 61,57 23,10 0,34 0,12

Test 2 9 65,89 22,44 0,38 0,17 21 51,95 26,26 0,28 0,18

Page 29: Corpus-based vocabulary testing in an English for Academic

Cronbach’s α

Phase 1 Phase 2 Phase 3 Phase 4

V1 V2 V1 V2 V1 V2 V1 V2

Itemnumber

30 30 30 30 30 30 30 30

N 154 66 94 117 61 74 86 48

Cronbach`sα

0.78 0.55 0.59 0.57 0.83 0.75 0.78 0.67

Page 30: Corpus-based vocabulary testing in an English for Academic

Limitations of the studyLimitations of the study

• Number of participants• Number of participants

• Range of texts

• Incapable of handling idiomatic language use

• Keyword status

Page 31: Corpus-based vocabulary testing in an English for Academic

ImplicationsImplications

• Corpus linguistics• Corpus linguistics

• Language pedagogy

• Language testingg g g

Page 32: Corpus-based vocabulary testing in an English for Academic

Implications for corpus linguisticsImplications for corpus linguistics

• description of the specificities of language use• description of the specificities of language use in this discipline

Page 33: Corpus-based vocabulary testing in an English for Academic

Implications for language pedagogyImplications for language pedagogy

• Frequency and keyword lists• Frequency‐ and keyword lists

• what words to focus on

• highly increases the potentials of students in academic text comprehensionacademic text comprehension

Page 34: Corpus-based vocabulary testing in an English for Academic

Implications for language pedagogyImplications for language pedagogy

• Autonomous learning and exam preparation• Autonomous learning and exam preparation 

F d k d li t il bl f t d t• Frequency‐ and keyword lists available for students on the departmental website 

• Focused intentional vocabulary learning outside the lclassroom

Page 35: Corpus-based vocabulary testing in an English for Academic

Implications for language pedagogyImplications for language pedagogy

• concordancers to identify and remedy• concordancers to identify and remedyindividual problem areas

• process of essay writing

• more sophisticated vocabulary use• more sophisticated vocabulary use

• more conscious vocabulary development

Page 36: Corpus-based vocabulary testing in an English for Academic

Implications for language testingImplications for language testing

• what words to focus on in the selection of• what words to focus on in the selection of lexis to be tested 

• more effective vocabulary assessment based• more effective vocabulary assessment based on the special lexical needs of English majors

Page 37: Corpus-based vocabulary testing in an English for Academic

D'Anna, C. L., Zeichmeister, E. B., & Hall, J. W. (1991). Toward a meaningful definition of vocabulary size. Journal of Reading Behaviour, 23, 109‐22.Goulden, R., Nation, P., & Read, J. (1990). How large can a receptive vocabulary be? Applied Linguistics, 11 (4), 341‐363.Hazenberg, S., & Hulstijn, J. H. (1996). Defining a minimal receptive second‐ language vocabulary for non‐native university students: An empirical investigation. Applied Linguistics, 17 (2), 145‐163.Hirsch, D., & Nation, P. (1992). What vocabulary size is needed to read unsimplified 

f l ? d ( )texts for pleasure? Reading in a Foreign Language, 8 (2), 689‐96.Horváth, J. (1996). The assessment of essay writing skills in the first‐year proficiency test. In M. Nikolov & J. Horváth (Eds.), Learning lessons: innovation in teacher education 

d t ( 88 106) Pé Li F C tand assessment (pp. 88‐106). Pécs: Lingua Franca Csoport.Laufer, B. (1997). The lexical plight in second language reading: Words you don't know, words you think you know, and words you can't guess. In J. Coady & T. Huckin (Eds.), Second language vocabulary acquisition (pp 20 34) Cambridge: Cambridge UniversitySecond language vocabulary acquisition (pp. 20‐34). Cambridge: Cambridge University Press.Schmitt, N., Schmitt, D., & Clapham, C. (2001). Developing and exploring the behaviour of two new versions of the Vocabulary Levels Test Language Testing 18(1) 55‐88of two new versions of the Vocabulary Levels Test. Language Testing, 18(1), 55 88.

Page 38: Corpus-based vocabulary testing in an English for Academic

Laufer, B. (2005a). Focus on form in second language vocabulary learning. EUROSLA Yearbook 5 223 250EUROSLA Yearbook, 5, 223-250.McCrostie, J. (2007). Investigating the accuracy of teachers` word frequency intuitions. RELC Journal, 38(1), 53-66.Morris L & Cobb T (2003) Vocabulary profiles as predictors of the academicMorris, L., & Cobb, T. (2003). Vocabulary profiles as predictors of the academic performance of Teaching English as a Foreign Language trainees. System, 32 (1),75-87.Nation I S P (1993) Vocabulary size growth and use In R Schreuder & BNation, I. S. P. (1993). Vocabulary size, growth and use. In R. Schreuder & B. Weltens (Eds.), The bilingual lexicon (pp. 115-134). Amsterdam: Benjamins.Nation, I. S. P., & Waring, R. (1997). Vocabulary size, text coverage and word lists. In N. Schmitt & M. McCarthy (Eds.), Vocabulary: Description, acquisition y ( ), y p , qand pedagogy (pp. 6-19). Cambridge: Cambridge University Press. Nusbaum, H. C., Pisoni, D. B., & Davis, C.K. (1984). Sizing up the Hoosier mental lexicon: Measuring the familiarity of 20,0,000 words. Research on g ySpeech Perception, Progress Report No. 10. Bloomington, IN: Indiana University.O`Keefee, A., McCarthy, M., & Carter, R. (2007). From corpus to classroom: language use and language teaching. Cambridge: Cambridge University Press.

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Thank you for your attention!

lehmann magdolna@pte [email protected]