Hackerspace Special at the DHSS: Integrating traditional corpus methods with AI using the AntConc corpus analysis toolkit (Laurence Anthony, Tokyo)

Integrating traditional corpus methods with AI
using the AntConc corpus analysis toolkit
Date: Tue 25th Time: 18:15 – 19:45
Venue Room 03.11 (third floor)
Werner-von-Siemens-Str. 61, 91052 Erlangen
Speaker:
Professor Laurence Anthony
Waseda University, Tokyo, Japan
Abstract
The integration of traditional corpus methods with AI offers exciting possibilities for
Digital Humanities research. In this talk, I will explore how the AntConc corpus analysis
toolkit can link concordancing, word/keyword analyses, and other established corpus
linguistics practices with the insights provided by Large Language Models (LLMs),
leading to highly context-sensitive and nuanced findings about language use. I will also
discuss how the LLM integration in AntConc can potentially simplify the creation and
annotation of corpus resources, and also provide users with a natural language query
interface. These new features and functions of AntConc broaden the potential user base
of corpus methods, allowing even those with limited knowledge of the field to effectively
interact with corpora. They also offer users with a simple bridge to state-of-the-art opensource,
open-weight, and closed-source LLMs.
Software download link: https://www.laurenceanthony.net/software.html
Laurence Anthony is Professor of Applied Linguistics at the Faculty of Science and
Engineering, Waseda University, Japan. His main research interests are in language data
science, educational technology, corpus linguistics, and English for Specific Purposes
(ESP) program design and teaching methodologies. He is the creator of the corpus
analysis tool AntConc.

https://www.dhss.phil.fau.de/2024/06/19/gastvortrag-laurence-anthony-integrating-traditional-corpus-methods-with-ai-using-the-antconc-corpus-analysis-toolkit/