This thesis uses the tools and methods of corpus linguistics to study the process of knowledge encoding in a corpus of texts from the scientific discipline of genetics. It is argued here that the approach taken fits into the tradition of corpus-driven approaches to linguistic questions in that no assumption is made about the linguistic form that this knowledge encoding will take. Instead the study proceeds by identifying a set of keywords using the concept of lexical chains to identify items of terminology. The investigation of these uses the cluster function of WordSmith Tools (Scott 2004) and is qualitative, following Sinclair (1991; 2004) in attempting to develop a picture of the typical linguistic nature of the patterns surrounding these clusters inductively through a process of studying collocation and colligation patterns and identifying phraseology. It is argued here that such an approach is required to discover linguistic aspects of epistemic encoding that have as yet not been identified by those working in the related fields of discourse analysis or corpus linguistics.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:566084 |
| Date | January 2012 |
| Creators | Plappert, Gary Lee |
| Publisher | University of Birmingham |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://etheses.bham.ac.uk//id/eprint/3884/ |
Page generated in 0.0023 seconds