Learner Corpus Research in EAP: Past, Present and Future

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Learner Corpus Research in EAP: Past, Present and Future

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Learner Corpus Research in EAP: Past, Present and Future Lynne Flowerdew * –

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Title: Learner Corpus Research in EAP: Past, Present and Future


1
Learner Corpus Research in EAP Past, Present and
Future
  • Lynne Flowerdew

2
Outline of talk
  • Research in
  • English for General Academic Purposes (EGAP)
  • English for Specific Academic Purposes (ESAP)
  • Some core issues
  • Current and future directions
  • Focus on academic writing

3
EGAP learner corpus research key areas
  • Epistemic modality/stance markers
  • Tense and aspect
  • Vocabulary, collocations and phraseology
  • (also connectors)

4
ESAP Learner Corpus Research
5
ESAP learner corpus research key areas
  • Lexical bundles
  • Keywords to phraseology
  • Metadiscoursal expressions

6
Some core issues
  • Starting point for analysis
  • derived from existing framework or inductive
  • corpus-based vs. corpus-driven (Tognini
    Bonelli)
  • bottom-up vs. top-down
  • Choice of reference/control corpus
  • Explanation for data (taking into account
    variables)

7
EGAP Learner Corpus Research
8
Epistemic modality/stance markers
  • Argumentative essays, e.g. ICLE sub-corpora
  • governed by epistemic modality
  • overlaps with Hylands (1999) stance markers
  • hedges, boosters, self-mentions, attitude
    markers
  • difficult for students to master complex
    interplay between hedges and boosters

9
1. Learner Corpus Research (L1 L2)
  • Doubt and certainty (Hyland Milton 1997)
  • 2 corpora, 500,000 words each
  • Learner Native-speaker
  • 150 essays by A level
    scripts
  • HK students for British
    school leavers
  • A Level UofEng of similar age
    education

10
1.Learner Corpus Research
  • Procedure
  • Inventory of 75 of most frequently occurring
    epistemic lexical devices from
  • Holmes (1983) analysis of learned sections of
    Brown LOB
  • Research literature on modality (Coates 1983)
  • Reference grammars (Quirk et al. 1972)
  • 50 sentences of each item(cut-off point, cf.
    Altenberg)

11
1. Learner Corpus Research
  • Key findings
  • Chinese learners limited range of devices,
    inappropriate strong convictions
  • e.g. As I know, I am quite sure some parents are
    willing to pay vs.
    native-speaker
  • e.g. On balance, it would seem that the only
    real solution to the problem would be to.
  • Explanation
  • due to lack of awareness of socio-pragmatic norms
  • Teaching induced effect tutorial schools

12
2. Learner Corpus Research (L1 L2)
  • Impact of culture on use of stance exponents in
    GRICLE (Hatzitheodorou Mattheoudakis 2011)
  • 2 sub-corpora of around 200,000 words each
  • Learner
    Native-speaker
  • Greek component
    LOCNESS (not all timed)
  • of ICLE (timed)
    PELCRA (timed)

  • (cf. Ädel 2008)
  • Procedure
  • Focus on adverbials (hedges, boosters, attitude
    markers)
  • Hylands (2005) categories of metadiscourse as
  • reference point
  • own list (e.g. happily)

13
2. Learner Corpus Research (L1 L2)
  • Results
  • Motivation for research initial reading (Greek
    learners preference for wide range of boosters)
  • Preliminary observations borne out by results
    Greek learners more emphatic extensive use of
    boosters
  • Explanation (with reference to cultural factors)
  • Consulted 1.7 million word Hellenic National
    Corpus
  • Culturally induced from the Greek, authoritative
    style of writing
  • NB unlike Hyland Miltons (1997) study and
    GRICLE (2011)
  • study, McEnery Kifle (2002) found overuse of
    hedging in
  • argumentative writing of Eritrean students

14
3. Learner Corpus Research (L2 vs. L2)
  • Use of modal and reporting verbs in expression of
    stance (Neff et al. 2003)
  • Corpora
  • 5 learner sub- corpora from ICLE (French,
    Spanish,
  • Italian, Dutch, German)
  • 290,000 words in French . 195,000 in Spanish
  • LOCNESS (150,000 words) as native reference
    corpus
  • Focus on
  • modal verbs (can, could, may, might, must)
  • 9 reporting verbs (suggest, argue etc. among 12
    most frequently used in preliminary analysis)

15
3. Learner Corpus Research (L2 vs. L2)
  • Results explanations
  • can overused by all groups of non-native writers
    (massive overuse in Italian and Spanish
    sub-corpora)
  • L1 transfer involving meaning, typology and
    sociolinguistic norms
  • Typology
  • Se puede apreciar un contraste entre...
  • It can be appreciated a contrast between
  • Positive politeness strategies
  • The problems that we can find
  • Developmental factors may play a role
  • (cf. Aijmer 2002 Gilquin Paquot 2008)

16
4. ESAP Learner Corpus Study
  • Stance options in data-description task in
    statistics (Wharton 2012)
  • Corpus 40 student texts (4705 words)
  • Procedures
  • Inductive using Nvivo
  • (small set of data in under-researched genre)
  • Examination and reexamination of texts
  • Common Content Assertions (5 propositions)
  • Common Stances in Assertions (bare, hedged,
    vague, boosted, reader-inclusive)

17
ESAP Learner Corpus Research
18
ESAP learner corpus research key areas
  • Lexical bundles
  • Keywords to phraseology
  • Metadiscoursal expressions

19
1. Learner Corpus Research keywords .
phraseology
  • Function keywords in academic writing
  • (Lee Chen 2009)
  • 2 apprentice corpora
  • Chinese undergraduate dissertations (Eng. Lang.)
  • Comparable L1 student corpus from BAWE
  • Both compared with expert corpus of journal
    articles from same field
  • Key finding (article usage)
  • e.g. the students in this study
  • students will be more motivated if.

20
2. ESAP Corpus Research keywords . phraseology
  • Content keywords in Problem-Solution text
    (Flowerdew 2008)
  • 2 corpora of around 225,000 words each
  • Learner corpus of recommendation-based reports
  • Expert corpus of professional reports
  • (analogue rather than exemplar corpusTribble
    2002)
  • Key finding
  • Overuse of superordinate terms in topic sentences
  • e.g. find a solution to the problem
  • Over-reliance on rubrics from assignment
    (lexical teddy bears, Hasselgren 1994)

21
  • Cf. Paquots (2010) six interlanguage features
  • Limited lexical repertoire
  • Lack of register awareness
  • Unidiomatic phraseology
  • Semantic misuse (problem vs. issue or question)
  • Overuse of connective devices
  • Strings of connectives in subject-initial
    position

22
ESAP Learner Research metadiscourse
  • Hylands (2005) model of metadiscourse
  • Interactive
  • guide reader through text using transitions
    etc.
  • Interactional
  • involves reader in text using hedges,
    boosters,
  • attitude markers

23
1. ESAP Corpus Research Interactional
  • Anticipatory it in student and published
    writing (Hewings Hewings 2002)
  • 2 corpora of business writing
  • Student corpus 15 MBA dissertations by NNS
    (123,633 words)
  • Comparable corpus 28 papers from three different
    business studies journals (203,389 words )

24
1. ESAP Corpus Research Interactional
  • Procedures
  • Excluded it when propositional content, or
    text-organising role
  • four categories derived from data
  • Hedges, attitude markers, emphatics, attribution
  • Results normalised per 1,000 words
  • Results explanations
  • Learners made less use of it clauses in hedging
  • Greater use of it in other 3 categories
  • Speculate more overt effort at persuasion on
    account of readership

25
2. ESAP Corpus Research Interactive
  • Use of we in a learner corpus of reports (Luzon
    2009)
  • 2 corpora
  • Learner corpus of reports written by Spanish
    engineering students
  • Corpus for comparison (analogue) engineering RAs
  • Key finding
  • Lack of awareness of conventions for we
  • e.g. With this paper we want to give you some
    recommendations
  • We are going to consider the advantages
    and

26
Current and future directions
27
Very recent initiatives in Learner Corpora
  • Aggregate vs. individual data (cf. Hong article
    on software in Tono et al. 2012, ICCI project)
  • Longitudinal studies (Meunier Littre 2013)
  • More individual metadata
  • MUCH longitudinal corpus (Eriksson et al.)

28
Very recent initiatives in Learner Corpora
  • Domain- and genre-specific
  • VESPA (Paquot) , CALE (Callies)
  • Linguistic theories (genre, SFL, pragmatics,
    politeness strategies, cognitive linguistics etc.
  • Computer-mediated, synchronous asynchronous
    (McDonald et al. 2013)

29
  • Thank you
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