1 / 29

Learner Corpus Research in EAP: Past, Present and Future

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

Download Presentation

Learner Corpus Research in EAP: Past, Present and Future

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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 Hyland’s (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 LearnerNative-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) Hyland’s (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 & Milton’s (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, argueetc.; 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 corpus;Tribble2002) 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. Paquot’s (2010) six interlanguage features Limited lexical repertoire Lack of register awareness Unidiomatic phraseology Semantic misuse (problemvs. issue or question) Overuse of connective devices Strings of connectives in subject-initial position

  22. ESAP Learner Research: metadiscourse Hyland’s (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

More Related