Iverina Ivanova’s dissertation is now available from the university
library server.
In her dissertation,
Iva investigated the structure of research articles in the field of
Computational Linguistics (CL) with the goal of establishing that a set of
distinctive linguistic features is associated with each section type. She
analyzed the interaction between the intentional and the linguistic structure
of each section type. The results from the quantitative and qualitative
analysis show that each section possesses an individual profile of linguistic
features which are associated with it more or less strongly. These
section-feature mappings are shown to be derivable from the hypothesized
intentions of each section type. Her research findings provide insights into
the writing strategies that writers employ in the component sections of a
research article so that the overall goal
of the article is achieved.
Reference
Ivanova, Iverina. 2023.
Section-Type constraints on the choice of linguistic mechanisms in research
articles: a corpus-based approach. Frankfurt a.M.: University Library.
DOI: 10.21248/gups.74388
The datasets for this
thesis are available on:
DOI: 10.25716/gude.1jnt-32xh
