Abstract
We report on the results of an annotation experiment comparing naïve and expert coders in a sense disambiguation task consisting in the assignment of function labels to discourse markers (e.g. well, but, I mean) in spoken French and English using a taxonomy specifically designed for speech. Our qualitative-quantitative assessment of its reliability led us to suggest fundamental revisions of the structure of the taxonomy, striving to find a better balance between reliability and granularity. The resulting model articulates two independent levels of annotation (domains and functions) which, once combined, provide a robust tool for the analysis of discourse markers and relate them to more general functions of spoken language.
| Original language | English |
|---|---|
| Pages (from-to) | 71–99 |
| Journal | Corpus Linguistics and Linguistic Theory |
| Volume | 15 |
| Issue number | 1 |
| Early online date | 23 Mar 2017 |
| DOIs | |
| Publication status | Published - May 2019 |
Keywords / Materials (for Non-textual outputs)
- discourse markers
- annotation
- taxonomy
- corpus-based
- inter-rater reliability