Abstract
The present study introduces a research approach that combines corpus-linguistic and discourse-analytic perspectives to analyze the discourse pat-terns in a large corpus of biology research articles. The primary goals of the study are to identify vocabulary-based Discourse Units (DUs) using computational techniques, to describe the basic types of DUs in biology research articles as distinguished by their primary linguistic characteristics (using Multi-Dimensional analysis), to interpret those Discourse Unit Types in functional terms, and to then illustrate how the internal organiza-tion of a text can be described as a sequence of DUs, shifting among various Discourse Unit Types.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 151-182 |
| Number of pages | 32 |
| Journal | Corpus Linguistics and Linguistic Theory |
| Volume | 1 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2005 |
Keywords
- Biology research articles
- Cluster analysis
- Discourse structure
- Discourse units
- Multi-dimensional analysis
- Text segmentation
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language