Earticle

초록

영어

This paper discusses the utilization of multi-dimensional (MD) analysis (Biber, 1988; 1995) to examine linguistic variation in learner speech represented by transcribed interviews from the Louvain International Database of Spoken English Interlanguage (LINDSEI). LINDSEI is the first large-scale corpus of spoken learner English with sub-corpora of interview responses from eleven different mother-tongue backgrounds. The primary goals of this study are: to extract and identify the linguistic dimensions of learner speech from LINDSEI, to functionally interpret these dimensions, and to compare how these dimensions are distributed across speakers’ eleven first language backgrounds. Results show that the four primary functional dimensions of learner speech are: Involved Conversational Style vs. Informational Production; Complex Statement of Opinion; Formal, Academic Focus of Discussion vs. Informal, Non-Academic Discourse; and Personal Narrative Prose vs. Non-Narrative Discourse. Interesting differences are observed in how these dimensions are used by learners across first language backgrounds and interview tasks.

목차

ABSTRACT
 1. Introduction
  1.1 Spoken learner corpora and LINDSEI
  1.2 Biber’s MD framework
  1.3 Summary of research goals
 2. Methodology
 3. Results
  3.1 Dimension 1: Involved conversational style vs. informational production
  3.2 Dimension 2: Complex statement of opinion
  3.3 Dimension 3: Formal, academic focus of discussion vs. informal, non-academicdiscourse
  3.4 Dimension 4: Personal narrative prose vs. non-narrative discourse
 4. Conclusion
  4.1 Conclusion
  4.2 Limitations and Suggestions for Future Research
 References
 Appendix

키워드

저자

• Eric Friginal [ Georgia State University ]
• Brittany Polat [ Georgia State University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Corpus Linguistics Research

• 간기

  계간

• pISSN

  2465-812X

• 수록기간

  2015~2025

• 십진분류

  KDC 701 DDC 410