Assessing the potential of LLM-assisted annotation for corpus-based pragmatics and discourse analysis: The case of apology

Understand

Certain forms of linguistic annotation, like part of speech and semantic tagging, can be automated with high accuracy.

• However, manual annotation is still necessary for complex pragmatic and discursive features that lack a direct mapping to lexical forms.
• This manual process is time-consuming and error-prone, limiting the scalability of function-to-form approaches in corpus linguistics.
• To address this, our study explores the possibility of using large language models (LLMs) to automate pragma-discursive corpus annotation.