Concordancing oneself
Constructing individual textual profiles
Bibliographic Data
| ID | 12621770 |
|---|---|
| Authors | David Coniam (0000-0003-4480-1742, Chinese University of Hong Kong, corresponding author) |
| Year | 2004 |
| Volume | 9 |
| Issue | 2 |
| Pages | 271-298 |
| Publication date | 2004-11-30 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Corpus Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 1384-6655 • E-ISSN: 1569-9811 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/ijcl.9.2.06con |
| OpenAlex | W1994033314 |
| Language | EN |
| Citations received | 4 |
This paper discusses the construction and analysis of a corpus of an individual's own academic writing. Following an examination of the area of academic writing and the position of academic writing corpora within it, the paper discusses how a ‘personal corpus’ might be put together, along with issues of the necessary quality and quantity of ‘text’, and problems which may arise in the construction of a personal corpus. The paper also proposes a background, general ‘reference’ corpus against which features of academic writing may be measured, whilst admitting that accessibility to, or production of, such a potentially large corpus will generally be beyond the means of many researchers interested in small-scale analyses. Using concordancers, some limited analyses of lexical, syntactic and discourse features are then presented to show how a potential personal profile might emerge. The paper concludes with a discussion of the limitations facing the analysis of one's own writing, but suggests that, despite limitations, worthwhile insights can be gained in respect of one's personal language awareness
Academic writing · Corpus linguistics · Epistemology · Linguistics · Natural language processing · Quality (philosophy · Scale (ratio · Computer Science · Discourse Analysis in Language Studies · Natural Language Processing Techniques · Second Language Acquisition and Learning
| Citations per year | 0.2 |
|---|---|
| Citation span | 2006 - 2017 (12) |
| Highly cited | No |